A027 4D Pre-stack Inversion Workflow Integrating Reservoir Model Control and Lithology Supervised Classification
|
|
- Ambrose Heath
- 6 years ago
- Views:
Transcription
1 A027 4D Pre-stack Inversion Workflow Integrating Reservoir Model Control and Lithology Supervised Classification S. Toinet* (Total E&P Angola), S. Maultzsch (Total), V. Souvannavong (CGGVeritas) & O. Colnard (CGGVeritas) SUMMARY 4D pre-stack inversion is used in the industry to image reservoir changes due to production and injection, and to make reservoir management decisions in order to optimize hydrocarbon recovery. We present an innovative workflow to prepare, constrain and compute 4D pre-stack inversion attributes. Specific properties of the studied field (huge time-shifts due to gas coming out of solution, various turbiditic contexts) implied building a composite warping result, filtered using a 4D mask to build the initial monitor model for 4D inversion. The pre-stack 4D inversion workflow not only integrates seismic information, but also well information, used to discriminate sand from shale during the 4D mask building, and a 4D rockphysics model. Applied to simulated reservoir properties, the rock-physics model defines a range of relative density and velocity variations in which the inversion results can vary. Moreover, because waterbearing sands are hard to discriminate from shales in some of the field reservoirs using a cross-plot of P and S impedances, information from the reservoir grid was also introduced to help locating water-bearing sands in the 4D mask. Preliminary analyses of 4D inversion attributes show an improved image compared to previous 4D attributes.
2 Introduction 4D pre-stack inversion is used in the oil and gas industry primarily to image and analyse reservoir changes due to production and injection (McInally et al., 2001), and ultimately to make reservoir management decisions in order to optimise hydrocarbon recovery (Rutledal et al., 2003). In some cases, quantitative analysis based on 4D pre-stack inversion attributes is carried out to access fluid saturation and pressure changes in the reservoir (Lumley et al., 2003). A 4D pre-stack inversion has been run on a giant field located offshore Angola, in average water depths of 1400 meters. Oil production started in December Reservoirs are located in unconsolidated sandy turbiditic deposits, confined (thick channels) and unconfined (lobes). We present an innovative workflow to prepare, constrain and compute 4D pre-stack inversion attributes. This is followed by a preliminary analysis of 4D inversion results obtained. Warping of monitor before 4D inversion A 4D high-resolution seismic survey was acquired in the summer of 2008 on the field, with several objectives: monitor the effects of one year and a half of production and injection, understand vertical communications and fault behaviour, update the reservoir model according to the extension of 4D anomalies, help reservoir management and the location of future development and infill wells. 4D seismic data first went through a fast-track processing sequence. Analysis of 4D images from fasttrack processing has shown very large time-shifts (up to +18 ms) at the base of produced reservoirs, and amplitude variations of more than 100% between base and monitor seismic data. Such large variations are due to the fact that initial reservoir pressures are close to the bubble point, in unconsolidated sands with a shallow burial: production-induced depletion rapidly liberates gas, giving rise to a strong P-wave velocity decrease. The two different types of reservoirs of the field (confined and unconfined turbidites) induced large differences of time-shifts and amplitude variations: largest time-shifts were observed in confined turbidites due to stronger depletion and significant vertical communication (Figure 1), whereas in unconfined turbidites the time shift values were generally much smaller (around 5 ms). This variability in magnitude of the 4D anomalies for the different reservoir complexes required the use of different algorithms to warp the monitor data to the base data and generate a cube of relative P-wave velocity change (dv/v) as a 4D attribute. The warping techniques consist of existing and newly developed TOTAL proprietary algorithms (Williamson et al., 2007). Figure 1 left: amplitudes from base 99 survey. Right: amplitudes monitor Orange line (left and right images) represents the initial isochron of the reservoir base. Finally, three dv/v blocks were produced, using different algorithms and computation parameters. Because the 4D inversion algorithm requires using a single dv/v cube to create the initial model for the inversion of the monitor data, a composite dv/v cube was built by merging the different warpingderived dv/v blocks, using seismic interpreted horizons. This composite dv/v volume is also used for 4D interpretation purposes, as it is valid in confined and unconfined systems.
3 4D inversion workflow The 4D inversion workflow starts with a 3D simultaneous inversion of the base survey data after additional specific pre-conditioning of the angle stacks. Then the 3D inversion result on base is updated using the dv/v attribute from the warping process. Finally, a global pre-stack 4D inversion scheme (Lafet et al., 2009) is applied, where all partial angle stacks from base and monitor are jointly inverted. During the update phase with the dv/v attribute, a 4D mask is used: it defines reservoir and nonreservoir samples in the seismic volumes, and finally samples where 4D dv/v is applied or not to create the initial model for the monitor. This masking process allows in some specific places to remove unwanted noise in the dv/v attribute (Figure 2). The 4D mask is a combination of several types of data: lithology classification, reservoir model facies, and 4D seismic energy. The lithology classification is carried out using a supervised Bayesian classification scheme. It is based on sand/shale Probability Density Functions (PDFs) that are defined from a cross-plot of elastic properties (Figure 3). Unfortunately in this field, PDFs overlap significantly for water-sands and shales. Furthermore, the well training set for water-sands is poorly defined as the majority of original log sample points correspond to oil-bearing sands. Discriminating water-bearing sands from shales becomes therefore very uncertain using this cross-plot-based approach only. Figure 2 an example of unwanted noise in the dv/v attribute. Below a strong anomaly due to production, another anomaly is visible below a reservoir without any production or injection. Figure 3 Cross plot of Vp/Vs versus P-wave impedance showing PDFs and log data points corresponding to water-sands, oil-sands, gassands and shales. In order to reduce potentially large uncertainties in the cross-plot-based approach, the initial (before production) reservoir model was used to constrain the lihology classification. Fluid contacts are integrated in the reservoir model, based on well information or Direct Hydrocarbon Indicators. For a given reservoir unit, all cells located below the oil-water contacts are flagged as water-bearing sands. The reservoir model was converted from depth to time. After careful validation of the seismic-toreservoir grid tie in the time domain, the water-sand distribution from the reservoir model was integrated in the sand/shale 4D mask (Figure 4). Accounting for water-bearing sands is critical, in order to properly define the initial model for inversion of the monitor data and especially to allow mapping of water injection in water. To finalise the sand-shale classification, a lithofacies cube based on a Total proprietary classification algorithm
4 was also integrated into the 4D mask. This lithofacies cube is used to optimize well locations and has proven to be very predictive in oil-bearing reservoirs. In addition to the lithology component of the 4D mask, 4D seismic information was introduced in form of 4D energy. A threshold was applied to the cube of 4D seismic energy, computed from the difference between the 1999 base and the 2008 warped seismic monitor. The dv/v is then only used in areas where the 4D energy is greater than the threshold. As a result, isolated dv/v values, outside sands and outside areas of significant 4D energy are not used to build the initial monitor model, before inversion. An example of the final 4D mask is shown Figure 5. Figure 4 Lithology discrimination integrating information from reservoir model for waterbearing sand (in blue). Figure 5 example of the 4D mask. In red, areas where 4D initial differences between base and monitor models will be introduced through the dv/v. 4D global inversion applied uses a CCGVeritas proprietary algorithm that optimizes a multi-vintage cost function that combines several terms. Time-lapse coupling of the inversion scheme is achieved by restricting the range of perturbations between successive surveys according to user-specified constraints. Specifically, between each consecutive vintage, perturbations are restricted to specific min-max intervals of expected variations of density and P- and S-wave velocity. These intervals were directly derived from a 4D rock-physics model and reservoir simulations performed. Simulated reservoir parameters (fluid saturations, pressure, ) at the time of the 4D and at initial reservoir state are used as inputs of the rock-physics model which predicts the corresponding density, P-wave and S- wave velocity ranges in the reservoirs. Final inverted impedance variations are limited by this a priori range of property variations. Figure 6 Example of simulated relative P and S wave impedance variations between initial state of reservoir and time of 4D seismic survey. The cross-plot is computed from simulated reservoir properties and a 4D rock-physics model. In the 4D inversion workflow the 4D mask is used to create the initial monitor model, and can be used during the inversion process in order to impose areas where no impedance variations are allowed. The dv/v cube showed several places with significant 4D anomalies that had not been classified as reservoir in the lithology classification cubes. Therefore there was a danger of the mask being too restrictive in the actual 4D inversion process. 4D inversion tests without the mask confirmed the anomalies observed in the dv/v cube and also led to a decrease of residuals in these places. Therefore
5 it was decided to use the 4D mask only for the initial monitor model building, but to run the final 4D inversion in a more data-driven way, without a deterministic mask.. Example of 4D inversion result Preliminary analysis of the 4D inversion results provided new information, compared to previous attributes. In general, 4D inversion allows a better fine tuning of 4D anomalies with less noise. In particular the image from 4D inversion around water-injectors is generally of better quality than the image obtained on previous attributes, like dv/v, as shown on Figure 6: the anomalies visible on the 4D inversion are better aligned with sands. Moreover, the positive anomaly associated with injected water was extending towards the reservoir top on dv/v, which was not consistent with gravitational segregation. Relative P-impedance from inversion brings a more relevant image. Figure 7 example of 4D inversion result. a: bandpass P-impedance (oil sands in yellow, brown. shales in green. Debris flows and basal lags in blue). b: dv/v from warping. c: relative P-impedance variation from 4D inversion. Conclusions An innovative 4D pre-stack inversion workflow was built. Specific properties of the studied field (huge time-shifts due to gas coming out of solution, various turbiditic contexts) implied building a composite warping result, a mandatory step to build the initial monitor model for 4D inversion. The pre-stack 4D inversion workflow not only integrates seismic information, but also well information, used to discriminate sand from shale during the 4D mask building, and a 4D rock-physics model. Moreover, because water-bearing sands are hard to discriminate from shales in some of the field reservoirs, information from the reservoir grid was also introduced in the process. All these different steps were carefully validated. On top of the technical challenges, operational deadlines were met as a result of close interaction between TOTAL E&P ANGOLA, CGGVeritas teams in Luanda and TOTAL Headquarters. Preliminary analyses of 4D pre-stack inversion results already show encouraging results. Acknowledgements: Total thanks the block concessionaire, Sonangol and its partners Statoil, ExxonMobil and BP for their authorization to publish this work. References McInally, A., Kunka, J., Garnham, J., Redondo-Lopez, T., and Stenstrup-Hansen, L., Tracking Production Changes in a turbidite Reservoir Using 4D Elastic Inversion, 63 rd EAGE Conference And Exhibition Rutledal, H., Helgesen, J., and Buran, H., D Elastic Inversion helps locate in-fill wells at Oseberg field, First Break, Vol. 21, N 8, August Lumley, D., Adams, D., Meadows, M., Cole, S. and Ergas, R., 4D Seismic Pressure-Saturation Inversion at Gullfaks field, Norway, First Break, Vol 21, N 9, September Williamson, P.R., Cherrett, A.J., Sexton, P.A., 2007, A New Approach to Warping for Quantitative Time Lapse Characterisation, EAGE, Expanded Abstracts Lafet, Y., Roure, B., Doyen, P.M., and Buran, H., 2009, Global 4-D seismic inversion and time-lapse fluid classification. SEG Expanded Abstracts.
4D Seismic Inversion on Continuous Land Seismic Reservoir Monitoring of Thermal EOR
4D Seismic Inversion on Continuous Land Seismic Reservoir Monitoring of Thermal EOR Laurene Michou, CGGVeritas, Massy, France, laurene.michou@cggveritas.com Thierry Coleou, CGGVeritas, Massy, France, thierry.coleou@cggveritas.com
More informationWe G Updating the Reservoir Model Using Engineeringconsistent
We G102 09 Updating the Reservoir Model Using Engineeringconsistent 4D Seismic Inversion S. Tian* (Heriot-Watt University), C. MacBeth (Heriot-Watt University) & A. Shams (Heriot-Watt University) SUMMARY
More informationG034 Improvements in 4D Seismic Processing - Foinaven 4 Years On
G034 Improvements in 4D Seismic Processing - Foinaven 4 Years On C. Lacombe* (CGGVeritas UK), S. Campbell (BP Aberdeen) & S. White (CGGVeritas UK) SUMMARY Using a case history from West of Shetlands, the
More informationSeisTool Seismic - Rock Physics Tool
SeisTool Seismic - Rock Physics Tool info@traceseis.com Supports Exploration and Development Geoscientists in identifying or characterizing reservoir properties from seismic data. Reduces chance of user
More informationFoolproof AvO. Abstract
Foolproof AvO Dr. Ron Masters, Geoscience Advisor, Headwave, Inc Copyright 2013, The European Association of Geoscientists and Engineers This paper was prepared for presentation during the 75 th EAGE Conference
More informationPS wave AVO aspects on processing, inversion, and interpretation
PS wave AVO aspects on processing, inversion, and interpretation Yong Xu, Paradigm Geophysical Canada Summary Using PS wave AVO inversion, density contrasts can be obtained from converted wave data. The
More informationAdaptive spatial resampling as a Markov chain Monte Carlo method for uncertainty quantification in seismic reservoir characterization
1 Adaptive spatial resampling as a Markov chain Monte Carlo method for uncertainty quantification in seismic reservoir characterization Cheolkyun Jeong, Tapan Mukerji, and Gregoire Mariethoz Department
More informationWe B3 12 Full Waveform Inversion for Reservoir Characterization - A Synthetic Study
We B3 12 Full Waveform Inversion for Reservoir Characterization - A Synthetic Study E. Zabihi Naeini* (Ikon Science), N. Kamath (Colorado School of Mines), I. Tsvankin (Colorado School of Mines), T. Alkhalifah
More informationFrom Inversion Results to Reservoir Properties*
From Inversion Results to Reservoir Properties* M. Kemper 1 and N. Huntbatch 1 Search and Discovery Article #40869 (2012) Posted January 30, 2012 *Adapted from oral presentation at AAPG International Conference
More informationMulti-attribute seismic analysis tackling non-linearity
Multi-attribute seismic analysis tackling non-linearity Satinder Chopra, Doug Pruden +, Vladimir Alexeev AVO inversion for Lamé parameters (λρ and µρ) has become a common practice as it serves to enhance
More informationRM03 Integrating Petro-elastic Seismic Inversion and Static Model Building
RM03 Integrating Petro-elastic Seismic Inversion and Static Model Building P. Gelderblom* (Shell Global Solutions International BV) SUMMARY This presentation focuses on various aspects of how the results
More informationThe Lesueur, SW Hub: Improving seismic response and attributes. Final Report
The Lesueur, SW Hub: Improving seismic response and attributes. Final Report ANLEC R&D Project 7-0115-0241 Boris Gurevich, Stanislav Glubokovskikh, Marina Pervukhina, Lionel Esteban, Tobias M. Müller,
More informationIncorporating FWI velocities in Simulated Annealing based acoustic impedance inversion
Incorporating FWI velocities in Simulated Annealing based acoustic impedance inversion Date: 27 September 2018 Authors: Nasser Bani Hassan, Sean McQuaid Deterministic vs Stochastic Inversion Deterministic
More informationClosing the Loop via Scenario Modeling in a Time-Lapse Study of an EOR Target in Oman
Closing the Loop via Scenario Modeling in a Time-Lapse Study of an EOR Target in Oman Tania Mukherjee *(University of Houston), Kurang Mehta, Jorge Lopez (Shell International Exploration and Production
More information3-D vertical cable processing using EOM
Carlos Rodriguez-Suarez, John C. Bancroft, Yong Xu and Robert R. Stewart ABSTRACT Three-dimensional seismic data using vertical cables was modeled and processed using equivalent offset migration (EOM),
More informationE044 Ray-based Tomography for Q Estimation and Q Compensation in Complex Media
E044 Ray-based Tomography for Q Estimation and Q Compensation in Complex Media M. Cavalca* (WesternGeco), I. Moore (WesternGeco), L. Zhang (WesternGeco), S.L. Ng (WesternGeco), R.P. Fletcher (WesternGeco)
More informationP292 Acquisition Footprint Removal from Time Lapse Datasets
P292 Acquisition Footprint Removal from Time Lapse Datasets E. Zabihi Naeini* (CGGVeritas) SUMMARY Water layer variations and acquisition differences are two important factors that introduce time shift
More informationSUMMARY THEORY INTRODUCTION
Double-Difference Waveform Inversion of 4D Ocean Bottom Cable Data: Application to Valhall, North Sea Di Yang, Michael Fehler and Alison Malcolm, MIT, Faqi Liu and Scott Morton, Hess Corporation SUMMARY
More informationFull-waveform inversion for reservoir characterization: A synthetic study
CWP-889 Full-waveform inversion for reservoir characterization: A synthetic study Nishant Kamath, Ilya Tsvankin & Ehsan Zabihi Naeini ABSTRACT Most current reservoir-characterization workflows are based
More informationBy Tracy J. Stark 1. Search and Discovery Article #40133 (2004) Introduction
GC Value in Visualization* By Tracy J. Stark 1 Search and Discovery Article #40133 (2004) *Adapted from the Geophysical Corner column in AAPG Explorer, June, 2004, entitled Why Do We Need to Have Visualization?
More informationB002 DeliveryMassager - Propagating Seismic Inversion Information into Reservoir Flow Models
B2 DeliveryMassager - Propagating Seismic Inversion Information into Reservoir Flow Models J. Gunning* (CSIRO Petroleum) & M.E. Glinsky (BHP Billiton Petroleum) SUMMARY We present a new open-source program
More informationTu STZ1 06 Looking Beyond Surface Multiple Predictions - A Demultiple Workflow for the Culzean High Density OBC Survey
Tu STZ1 06 Looking Beyond Surface Multiple Predictions - A Demultiple Workflow for the Culzean High Density OBC Survey S. Gupta (Schlumberger), A. Merry (Maersk Oil), L.P. Jensen (Maersk Oil), A. Clarke
More informationGUIDE TO Pro4D TABLE OF CONTENTS. Pro4D Guide
TL-Pro4D v3.0 1 GUIDE TO Pro4D TABLE OF CONTENTS Pro4D Guide Introduction to TL-Pro4D... 2 Using GeoView... 3 Starting Pro4D... 6 Modeling Well Logs/Systematic Changes... 8 Calibration and Analysis of
More informationFrom inversion results to reservoir properties
From inversion results to reservoir properties Drs. Michel Kemper, Andrey Kozhenkov. От результатов инверсий к прогнозу коллекторских св-в. Д-р. Мишель Кемпер, Андрей Коженков. Contents 1. Not the 3D Highway
More informationPre-stack Inversion in Hampson-Russell Software
Pre-stack Inversion in Hampson-Russell Software HRS9 Houston, Texas 2011 Brad Hickenlooper What is Simultaneous Inversion? Simultaneous Inversion is the process of inverting pre-stack CDP gathers for P-Impedance
More informationWhy do we need Visualization? By Tracy J. Stark STARK Research
Why do we need Visualization? By Tracy J. Stark STARK Research tstark3@attglobal.net How do you convince a non believer, in a short article with only a few static figures, the need for visualization? Within
More informationOptimising 4D Seismic with Evolving Technology over 20 Years of Reservoir Monitoring of the Gullfaks Field, North Sea
Optimising 4D Seismic with Evolving Technology over 20 Years of Reservoir Monitoring of the Gullfaks Field, North Sea D.J. Anderson* (PGS), M. Wierzchowska (PGS), J. Oukili (PGS), D. Eckert (Statoil ASA),
More informationEffectively Handling Different Types of Data in Facility Areas for Improved 4D Imaging
Effectively Handling Different Types of Data in Facility Areas for Improved 4D Imaging D. Chu* (ExxonMobil Exploration Company), G. Mohler (ExxonMobil Exploration Company), G. Chen (ExxonMobil Exploration
More informationA comparison between time domain and depth domain inversion to acoustic impedance Laurence Letki*, Kevin Darke, and Yan Araujo Borges, Schlumberger
Laurence Letki*, Kevin Darke, and Yan Araujo Borges, Schlumberger Summary Geophysical reservoir characterization in a complex geologic environment remains a challenge. Conventional amplitude inversion
More informationD025 Geostatistical Stochastic Elastic Iinversion - An Efficient Method for Integrating Seismic and Well Data Constraints
D025 Geostatistical Stochastic Elastic Iinversion - An Efficient Method for Integrating Seismic and Well Data Constraints P.R. Williamson (Total E&P USA Inc.), A.J. Cherrett* (Total SA) & R. Bornard (CGGVeritas)
More informationDownscaling saturations for modeling 4D seismic data
Downscaling saturations for modeling 4D seismic data Scarlet A. Castro and Jef Caers Stanford Center for Reservoir Forecasting May 2005 Abstract 4D seismic data is used to monitor the movement of fluids
More informationWe N Depth Domain Inversion Case Study in Complex Subsalt Area
We N104 12 Depth Domain Inversion Case Study in Complex Subsalt Area L.P. Letki* (Schlumberger), J. Tang (Schlumberger) & X. Du (Schlumberger) SUMMARY Geophysical reservoir characterisation in a complex
More informationNORSAR-3D. Predict and Understand Seismic. Exploring the Earth. Find the answers with NORSAR-3D seismic ray-modelling
Exploring the Earth NORSAR-3D Predict and Understand Seismic Is undershooting possible? Which is the best survey geometry? MAZ, WAZ, RAZ, Coil, OBS? Why are there shadow zones? Can they be illuminated?
More informationP068 Case Study 4D Processing OBC versus Streamer Example of OFON filed, Block OML102, Nigeria
P068 Case Study 4D Processing OBC versus Streamer Example of OFON filed, Block OML102, Nigeria T. Castex* (Total SA), P. Charrier (CGG), M.N. Dufrene (Total SA) & C. Orji (EPNL) SUMMARY This case study
More informationA Short Narrative on the Scope of Work Involved in Data Conditioning and Seismic Reservoir Characterization
A Short Narrative on the Scope of Work Involved in Data Conditioning and Seismic Reservoir Characterization March 18, 1999 M. Turhan (Tury) Taner, Ph.D. Chief Geophysicist Rock Solid Images 2600 South
More informationUsing Primaries and Multiples to Extend Reservoir Illumination for Time-lapse Monitoring - Application to Jubarte PRM
Using Primaries and Multiples to Extend Reservoir Illumination for Time-lapse Monitoring - Application to Jubarte PRM D. Lecerf* (PGS), A. Valenciano (PGS), N. Chemingui (PGS), S. Lu (PGS) & E. Hodges
More informationSuccessful application of joint reflection/refraction tomographic velocity inversion in a shallow water marine environment.
Successful application of joint reflection/refraction tomographic velocity inversion in a shallow water marine environment. Sergey Birdus 1, Dean Criddle 2, Alexey Artyomov 1, Li Li 1, Qingbing Tang 1,
More informationHigh definition tomography brings velocities to light Summary Introduction Figure 1:
Saverio Sioni, Patrice Guillaume*, Gilles Lambaré, Anthony Prescott, Xiaoming Zhang, Gregory Culianez, and Jean- Philippe Montel (CGGVeritas) Summary Velocity model building remains a crucial step in seismic
More informationCommon-angle processing using reflection angle computed by kinematic pre-stack time demigration
Common-angle processing using reflection angle computed by kinematic pre-stack time demigration Didier Lecerf*, Philippe Herrmann, Gilles Lambaré, Jean-Paul Tourré and Sylvian Legleut, CGGVeritas Summary
More informationPre-Stack Seismic Data Analysis with 3D Visualization A Case Study*
Pre-Stack Seismic Data Analysis with 3D Visualization A Case Study* Yongyi Li 1, Josh Feng 1, and Maggie Jiao 1 Search and Discovery Article #41546 (2015)** Posted February 16, 2015 *Adapted from extended
More informationMitigation of the 3D Cross-line Acquisition Footprint Using Separated Wavefield Imaging of Dual-sensor Streamer Seismic
Mitigation of the 3D Cross-line Acquisition Footprint Using Separated Wavefield Imaging of Dual-sensor Streamer Seismic A.S. Long* (PGS), S. Lu (PGS), D. Whitmore (PGS), H. LeGleut (PGS), R. Jones (Lundin
More informationAzimuthal Fourier Coefficient Elastic Inversion
Azimuthal Fourier Coefficient Elastic Inversion Benjamin Roure*, Hampson-Russell Software & Services, a CGGVeritas Company, Calgary, Canada Benjamin.Roure@cggveritas.com and Jon Downton, Hampson-Russell
More informationA Data estimation Based Approach for Quasi continuous Reservoir Monitoring using Sparse Surface Seismic Data Introduction Figure 1
A Data estimation Based Approach for Quasi continuous Reservoir Monitoring using Sparse Surface Seismic Data Adeyemi Arogunmati* and Jerry M. Harris, Stanford University, California, USA Introduction One
More informationTh SRS3 07 A Global-scale AVO-based Pre-stack QC Workflow - An Ultra-dense Dataset in Tunisia
Th SRS3 07 A Global-scale AVO-based Pre-stack QC Workflow - An Ultra-dense Dataset in Tunisia A. Rivet* (CGG), V. Souvannavong (CGG), C. Lacombe (CGG), T. Coleou (CGG) & D. Marin (CGG) SUMMARY Throughout
More informationModeling Uncertainty in the Earth Sciences Jef Caers Stanford University
Modeling response uncertainty Modeling Uncertainty in the Earth Sciences Jef Caers Stanford University Modeling Uncertainty in the Earth Sciences High dimensional Low dimensional uncertain uncertain certain
More informationC009 Wide Azimuth 3D 4C OBC A Key Breakthrough to Lead to the Development of Hild Field
C009 Wide Azimuth 3D 4C OBC A Key Breakthrough to Lead to the Development of Hild Field D. Vaxelaire* (Total SA), K. Kravik (Total E&P Norge), F. Bertini (Total E&P Norge) & J.M. Mougenot (Total SA) SUMMARY
More informationAVO Modeling Scenarios AVO What Ifs? HRS-9 Houston, Texas 2011
AVO Modeling Scenarios HRS-9 Houston, Texas 2011 What are The function is designed to allow you to quickly and easily generate AVO synthetics that represent different fluid compositions and layer thicknesses
More informationMaximizing the value of the existing seismic data in Awali field Bahrain, by utilizing advanced 3D processing technology.
Maximizing the value of the existing seismic data in Awali field Bahrain, by utilizing advanced 3D processing technology. Eduard Maili* (OXY - Tatweer), Scott Burns (OXY), Neil Jones (Consultant, OXY)
More informationcv R z design. In this paper, we discuss three of these new methods developed in the last five years.
Nick Moldoveanu, Robin Fletcher, Anthony Lichnewsky, Darrell Coles, WesternGeco Hugues Djikpesse, Schlumberger Doll Research Summary In recent years new methods and tools were developed in seismic survey
More informationA009 HISTORY MATCHING WITH THE PROBABILITY PERTURBATION METHOD APPLICATION TO A NORTH SEA RESERVOIR
1 A009 HISTORY MATCHING WITH THE PROBABILITY PERTURBATION METHOD APPLICATION TO A NORTH SEA RESERVOIR B. Todd HOFFMAN and Jef CAERS Stanford University, Petroleum Engineering, Stanford CA 94305-2220 USA
More information2D Inversions of 3D Marine CSEM Data Hung-Wen Tseng*, Lucy MacGregor, and Rolf V. Ackermann, Rock Solid Images, Inc.
2D Inversions of 3D Marine CSEM Data Hung-Wen Tseng*, Lucy MacGregor, and Rolf V. Ackermann, Rock Solid Images, Inc. Summary A combination of 3D forward simulations and 2D and 3D inversions have been used
More informationWe G Application of Image-guided Interpolation to Build Low Frequency Background Model Prior to Inversion
We G106 05 Application of Image-guided Interpolation to Build Low Frequency Background Model Prior to Inversion J. Douma (Colorado School of Mines) & E. Zabihi Naeini* (Ikon Science) SUMMARY Accurate frequency
More informationChallenges of pre-salt imaging in Brazil s Santos Basin: A case study on a variable-depth streamer data set Summary
Challenges of pre-salt imaging in Brazil s Santos Basin: A case study on a variable-depth streamer data set Jeremy Langlois, Bing Bai, and Yan Huang (CGGVeritas) Summary Recent offshore discoveries in
More informationW015 Full-waveform Seismic Inversion at Reservoir Depths
W015 Full-waveform Seismic Inversion at Reservoir Depths T. Nangoo* (Imperial College London), M. Warner (Imperial College London), J. Morgan (Imperial College London), A. Umpleby (Imperial College London),
More informationGUIDE TO AVO. Introduction
AVO Guide Introduction... 1 1.0 Using GEOVIEW... 2 Reading Well Logs into GEOVIEW... 3 2.0 AVO Modeling... 8 Performing Fluid Replacement Modeling... 14 Loading Seismic Data... 20 Creating a Synthetic
More informationWave-equation MVA applied to 4-D seismic monitoring
Stanford Exploration Project, Report 112, November 11, 2002, pages 15 21 Short Note Wave-equation MVA applied to 4-D seismic monitoring Paul Sava, John Etgen, and Leon Thomsen 1 INTRODUCTION 4-D seismic
More informationChapter 1. Introduction
Chapter 1 Introduction Time-lapse (4D) seismic imaging has become an established technology for monitoring changes in subsurface reservoir properties. In general, time-lapse seismic imaging involves repetition
More informationIn early phases of offshore field development, repeated marine
SPECIAL SECTION: M a r i n e a n d s e a b e d t e c h n o l o g y A large-scale validation of OBN technology for time-lapse studies through a pilot test, deep offshore Angola J.-L. BOELLE, E. BRECHET,
More informationFIND YOUR GEO SOLUTION DOWNUNDER
FIND YOUR GEO SOLUTION DOWNUNDER WHERE IT ALL BEGAN Meet our company founders. They started DUG in the back shed and turned it into a global service company. DownUnder GeoSolutions (DUG) was incorporated
More informationRubis (NUM) Tutorial #1
Rubis (NUM) Tutorial #1 1. Introduction This example is an introduction to the basic features of Rubis. The exercise is by no means intended to reproduce a realistic scenario. It is assumed that the user
More informationStatic corrections in challenging cases
P-146 Static corrections in challenging cases Seweryn Tlalka, Geofizyka Torun, Poland Summary Seismic data processing in challenging areas such as sand or rock desserts of Asia, North Africa, or Middle
More informationSeisSpace Software. SeisSpace enables the processor to be able focus on the science instead of being a glorified data manager.
SeisSpace Software OVERVIEW Delivering large volumes of data quickly and accurately remains the hallmark of any seismic processing system. With intuitive analysis tools, state-of-the-art geophysical algorithms
More informationEfficient big seismic data assimilation through sparse representation
Efficient big seismic data assimilation through sparse representation Xiaodong Luo, IRIS & The National IOR Centre of Norway; Tuhin Bhakta, IRIS & The National IOR Centre of Norway; Morten Jakobsen, UiB,
More informationFracture Quality from Integrating Time-Lapse VSP and Microseismic Data
Fracture Quality from Integrating Time-Lapse VSP and Microseismic Data Mark E. Willis, Daniel R. Burns, Rongrong Lu, M. Nafi Toksöz, Earth Resources Laboratory Dept. of Earth, Atmospheric, and Planetary
More informationSeismic Reflection Method
Seismic Reflection Method 1/GPH221L9 I. Introduction and General considerations Seismic reflection is the most widely used geophysical technique. It can be used to derive important details about the geometry
More informationTu-P05-05 Multi-azimuth Anisotropic Tomography and PreSDM of a North Sea Streamer Survey
Tu-P05-05 Multi-azimuth Anisotropic Tomography and PreSDM of a North Sea Streamer Survey D. Sekulic* (ION Geophysical), O. Matveenko (Total E&P Norge), J.K. Fruehn (ION GXT) & G. Mikkelsen (Total E&P Norge)
More informationThe SPE Foundation through member donations and a contribution from Offshore Europe
Primary funding is provided by The SPE Foundation through member donations and a contribution from Offshore Europe The Society is grateful to those companies that allow their professionals to serve as
More informationY015 Complementary Data-driven Methods for Interbed Demultiple of Land Data
Y015 Complementary Data-driven Methods for Interbed Demultiple of Land Data S. Sonika* (WesternGeco), A. Zarkhidze (WesternGeco), J. Heim (WesternGeco) & B. Dragoset (WesternGeco) SUMMARY Interbed multiples
More informationM. Warner* (S-Cube), T. Nangoo (S-Cube), A. Umpleby (S-Cube), N. Shah (S-Cube), G. Yao (S-Cube)
Tu A12 15 High-Resolution Reflection FWI M. Warner* (S-Cube), T. Nangoo (S-Cube), A. Umpleby (S-Cube), N. Shah (S-Cube), G. Yao (S-Cube) Summary We demonstrate reflection FWI on a less-than-ideal 3D narrow-azimuth
More informationProject overview. SleipnerCO 2 plume. Filip Neele, Rob Arts. E T
Project overview SleipnerCO 2 plume Filip Neele, Rob Arts E filip.neele@tno.nl, rob.arts@tno.nl T +31 30 256 4859 Sleipner CO 2 injection CO 2 injection commenced 1996 ~ 1 Mt CO 2 injected per annum >
More informationIterative spatial resampling applied to seismic inverse modeling for lithofacies prediction
Iterative spatial resampling applied to seismic inverse modeling for lithofacies prediction Cheolkyun Jeong, Tapan Mukerji, and Gregoire Mariethoz Department of Energy Resources Engineering Stanford University
More informationUltrasonic Multi-Skip Tomography for Pipe Inspection
18 th World Conference on Non destructive Testing, 16-2 April 212, Durban, South Africa Ultrasonic Multi-Skip Tomography for Pipe Inspection Arno VOLKER 1, Rik VOS 1 Alan HUNTER 1 1 TNO, Stieltjesweg 1,
More informationResidual Moveout Analysis in a 3D dataset from Amplitude Variations with Offfset
P-270 Residual Moveout Analysis in a 3D dataset from Amplitude Variations with Offfset Summary Subhendu Dutta, ONGC The amplitude variations with offset (AVO) is a very useful tool which compliments the
More informationWe LHR5 06 Multi-dimensional Seismic Data Decomposition for Improved Diffraction Imaging and High Resolution Interpretation
We LHR5 06 Multi-dimensional Seismic Data Decomposition for Improved Diffraction Imaging and High Resolution Interpretation G. Yelin (Paradigm), B. de Ribet* (Paradigm), Y. Serfaty (Paradigm) & D. Chase
More informationAnisotropic 3D Amplitude Variation with Azimuth (AVAZ) Methods to Detect Fracture-Prone Zones in Tight Gas Resource Plays*
Anisotropic 3D Amplitude Variation with Azimuth (AVAZ) Methods to Detect Fracture-Prone Zones in Tight Gas Resource Plays* Bill Goodway 1, John Varsek 1, and Christian Abaco 1 Search and Discovery Article
More informationPRODUCT HIGHLIGHTS. Velocity Modeling - Time/Depth Conversion A COMPLETE SEISMIC INTERPRETATION SOLUTION
PRODUCT HIGHLIGHTS Velocity Modeling - Time/Depth Conversion Easily create reliable velocity models and depth convert seismic volumes and interpretation. Create multi-layer horizon top equivalences to
More informationTu N Maximising the Value of Seismic Data for Continued Mature Field Development in the East Shetland Basin
Tu N103 16 Maximising the Value of Seismic Data for Continued Mature Field Development in the East Shetland Basin P. Mitchell (TAQA Bratani Limited), J. Raffle* (ION GXT), P. Brown (ION GXT), I. Humberstone
More informationOffset Scaling. Irfan Saputra. December 2008/CE8R3 SAMPLE IMAGE
Offset Scaling SAMPLE IMAGE Irfan Saputra HRS Jakarta December 2008/CE8R3 Why offset scaling is needed? To correct systematic offset-dependent amplitude distortion in the gathers. This error is common
More informationTu A4 09 3D CSEM Inversion Of Data Affected by Infrastructure
Tu A4 09 3D CSEM Inversion Of Data Affected by Infrastructure J.P. Morten (EMGS), L. Berre* (EMGS), S. de la Kethulle de Ryhove (EMGS), V. Markhus (EMGS) Summary We consider the effect of metal infrastructure
More informationTu B1 02 Diffraction Modelling and Imaging of Fluid Escape Features, South China Sea
Tu B1 02 Diffraction Modelling and Imaging of Fluid Escape Features, South China Sea T.J. Moser* (Moser Geophysical Services), M.A. Pelissier (Integrated Geoscience Solutions), A. Ball (Roc Oil (China)),
More informationEarthStudy 360. Full-Azimuth Angle Domain Imaging and Analysis
EarthStudy 360 Full-Azimuth Angle Domain Imaging and Analysis 1 EarthStudy 360 A New World of Information for Geoscientists Expanding the Frontiers of Subsurface Exploration Paradigm EarthStudy 360 is
More informationPart 1: Calculating amplitude spectra and seismic wavelets
Geology 554 Environmental and Exploration Geophysics II Generating synthetic seismograms The simple in-class exercise undertaken last time illustrates the relationship between wavelet properties, interval
More informationCMP inversion and post-inversion modelling for marine CSEM data
CMP inversion and post-inversion modelling for marine CSEM data Rune Mittet, 1* Ketil Brauti, 1 Herry Maulana 2 and Tor Atle Wicklund 1 Abstract Inversion of marine controlled-source electromagnetic (CSEM)
More informationHTI anisotropy in heterogeneous elastic model and homogeneous equivalent model
HTI anisotropy in heterogeneous elastic model and homogeneous equivalent model Sitamai, W. Ajiduah*, Gary, F. Margrave and Pat, F. Daley CREWES/University of Calgary. Summary In this study, we compared
More informationMinimizing Fracture Characterization Uncertainties Using Full Azimuth Imaging in Local Angle Domain
P-237 Minimizing Fracture Characterization Uncertainties Using Full Azimuth Imaging in Local Angle Domain Shiv Pujan Singh*, Duane Dopkin, Paradigm Geophysical Summary Shale plays are naturally heterogeneous
More informationHigh Resolution Geomodeling, Ranking and Flow Simulation at SAGD Pad Scale
High Resolution Geomodeling, Ranking and Flow Simulation at SAGD Pad Scale Chad T. Neufeld, Clayton V. Deutsch, C. Palmgren and T. B. Boyle Increasing computer power and improved reservoir simulation software
More informationCLASSIFICATION OF MULTIPLES
Introduction Subsurface images provided by the seismic reflection method are the single most important tool used in oil and gas exploration. Almost exclusively, our conceptual model of the seismic reflection
More informationCommon Reflection Angle Migration (CRAM) for improved input to reservoir description an example from Mumbai High Field
P-313 Summary Common Reflection Angle Migration (CRAM) for improved input to reservoir description D.P. Sinha, Apurba Saha, A. Ghosh, ONGC; Dean K. Clark*, Paradigm A new seismic subsurface imaging technology
More informationSUMMARY INTRODUCTION METHOD: AVOZ WITH SVD FOR FRACTURE INVER- SION
Fracture density inversion from a physical geological model using azimuthal AVO with optimal basis functions Isabel Varela, University of Edinburgh, Sonja Maultzsch, TOTAL E&P, Mark Chapman and Xiang-Yang
More informationTh LHR5 08 Multi-modal Surface Wave Inversion and Application to North Sea OBN Data
Th LHR5 08 Multi-modal Surface Wave Inversion and pplication to North Sea ON Data S. Hou (CGG), D. Zheng (CGG), X.G. Miao* (CGG) & R.R. Haacke (CGG) SUMMRY Surface-wave inversion (SWI) for S-wave velocity
More informationMulti-Dimensional Seismic Data Decomposition for Improved Diffraction Imaging and High Resolution Interpretation
Multi-Dimensional Seismic Data Decomposition for Improved Diffraction Imaging and High Resolution Interpretation Bruno de Ribet Technology Global Director Elive Menyoli P&I US Senior Technical Advisor
More informationSeisEarth. Multi-survey Regional to Prospect Interpretation
SeisEarth Multi-survey Regional to Prospect Interpretation 1 SeisEarth Fast and accurate interpretation, from regional to reservoir We ve been experimenting with the newest version of SeisEarth for some
More informationAttribute Expression of the Mississippi Lime. Attribute expression of the Mississippi Lime
Attribute Expression of the Mississippi Lime Kurt J. (The University of Oklahoma) Attribute expression of the Mississippi Lime Lithology Fractures o Strain o Thickness o Lithology Diagenesis Impedance
More informationQuantifying Data Needs for Deep Feed-forward Neural Network Application in Reservoir Property Predictions
Quantifying Data Needs for Deep Feed-forward Neural Network Application in Reservoir Property Predictions Tanya Colwell Having enough data, statistically one can predict anything 99 percent of statistics
More informationA Novel 3-D De-multiple Workflow for Shallow Water Environments - a Case Study from the Brage field, North Sea
A Novel 3-D De-multiple Workflow for Shallow Water Environments - a Case Study from the Brage field, North Sea J. Oukili* (PGS), T. Jokisch (PGS), A. Pankov (PGS), B. Farmani (PGS), G. Ronhølt (PGS), Ø.
More informationIntegral equation method for anisotropic inversion of towed streamer EM data: theory and application for the TWOP survey
Integral equation method for anisotropic inversion of towed streamer EM data: theory and application for the TWOP survey Michael S. Zhdanov 1,2, Masashi Endo 1, Daeung Yoon 1,2, Johan Mattsson 3, and Jonathan
More informationSeismic facies analysis using generative topographic mapping
Satinder Chopra + * and Kurt J. Marfurt + Arcis Seismic Solutions, Calgary; The University of Oklahoma, Norman Summary Seismic facies analysis is commonly carried out by classifying seismic waveforms based
More information2017 GeoSoftware Training Catalog
2017 GeoSoftware Training Catalog Public CGG GeoSoftware Training Programs for 2017 GeoSoftware offers a comprehensive solution for your integrated geophysical, geological, petrophysical, rock physics
More information2018 GeoSoftware Training Catalog
2018 GeoSoftware Training Catalog Public CGG GeoSoftware Training Programs for 2018 GeoSoftware offers a comprehensive solution for your integrated geophysical, geological, petrophysical, rock physics
More informationInversion after depth imaging
Robin P. Fletcher *, Stewart Archer, Dave Nichols, and Weijian Mao, WesternGeco Summary In many areas, depth imaging of seismic data is required to construct an accurate view of the reservoir structure.
More information