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66th EAGE Conference & Exhibition
- Conference date: 07 Jun 2004 - 10 Jun 2004
- Location: Paris, France
- Published: 07 June 2004
81 - 100 of 562 results
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Automated Geometry Extraction from 3D Seismic Data by Lateral Waveform Recognition
Authors L. Sonneland, H.G. Borgos, T. Skov, A. Carrillat and T. RandenC015 AUTOMATED GEOMETRY EXTRACTION FROM 3D SEISMIC DATA BY LATERAL WAVEFORM RECOGNITION Summary 1 A novel method for extracting geometry primitives from seismic data is presented. All events in the 3D seismic cube is detected and combined into geometric primitives based on similarities in the local waveform. No assumptions of continuity in the geometric primitives are required which can therefore represent faulted reflectors. This facilitates quantification of the fault displacement. The accuracy with which the local waveform is represented is selectable implying that subtle lateral changes in the reflectivity can be detected and exploited. This characteristic enables analysis of stratigraphic
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Unsupervised Seismic Facies Classification Using Matching Pursuit and Self Organizing Maps
Authors M.C. Matos, P.L.M. Osório and P.R.S. Johann1 C016 Unsupervised Seismic Facies Classification Using Matching Pursuit and Self Organizing Maps MARCÍLIO C. MATOS 1 3 PAULO L.M. OSÓRIO 1 AND PAULO R.S. JOHANN 2 Abstract A new alternative to build seismic facies maps is presented. We propose to use matching pursuit with timefrequency dictionaries in each geological oriented segment of the temporal seismic trace associated with the Self Organizing Maps (SOM) as a clustering tool. Jointly they could be used as a seismic facies estimator. The technique was applied to a real data from a deep-water field in the Campos Basin Brazil. Introduction 1 Pontifícia Universidade Católica
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Making Dense Velocity Fields the Norm
Authors C.J.S. McKenzie, H. Hoeber, D. Tam and D.N. WhitcombeC017 MAKING DENSE VELOCITY FIELDS THE NORM Abstract 1 Since 2000 we have been working to deliver routine high-density velocity analysis for production processing. This involves initially manually picking a 500 metre grid velocity field followed by autopicking on a 50 metre grid. The velocities are carefully edited filtered and QC’d with several new methods. We now perform dense automated velocity picking routinely for all marine surveys in the time-domain and we are increasingly using the approach for depth-imaging projects. Further improvements to the velocities will be delivered by the use of bi-spectral picking as well as geostatistical filtering techniques.
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Automatic Imaging – Velocity Veracity
More LessC018 AUTOMATIC IMAGING: VELOCITY VERACITY Abstract 1 A system for automatic high density migration velocity estimation and imaging has been developed. Imaging velocities are calculated at every CMP and time location and are iteratively updated to achieve optimal image quality. The Auto Imager approach is demonstrated with 3D real and synthetic examples and the veracity of the estimated velocity is investigated in comparison to independently estimated interval velocities and depth migration results for two real 3D data sets. Introduction K.STINSON 1 M.RESHEF 2 WAI-KIN CHAN 1 E.CRASE 1 M.ROTH 2 S.LEVY 1 1 Data Modeling Inc.1120 521-3 rd Ave. S.W.
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High Resolution Tomographic MVA with Automation
By P. HardyC019 HIGH RESOLUTION TOMOGRAPHIC MVA WITH AUTOMATION Summary 1 Prestack reflection tomography is gradually being promoted from a method secondary to the vertical velocity updating scheme to become the main model building tool used routinely on the majority of imaging projects. Key to this transition is the recent development of efficient automatic picking algorithms which provide high accuracy high resolution and high volume velocity information with minimum user intervention. Following this trend tomographic algorithms have evolved from expert-only tools to mainstream industrial applications . Today we routinely auto-pick several hundreds of square Km of data and invert those picks into
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Fast Cycle PreSDM Model Building Using Dense RMO Analysis and 3D Finite Offset Tomography – A Timor Sea Case Study
Authors V. Dirks, P. Plasterie, L. Vincent and P. GuillaumeC020 Fast cycle PreSDM model building using dense RMO analysis and 3D finite offset tomography – A Timor Sea Case Study Abstract 1 We have replaced the classical migration scan methodology by a combination of dense residual moveout (RMO) picking and 3D finite-offset tomography in areas of moderate structural complexity. The objective was a significant reduction in turnaround time for the PreSDM model building with an equal or better final image quality. On a Timor Sea marine streamer dataset re-processing project we found that a reduction of the project duration by a factor greater than two is achievable whilst improving
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Stereotomographic Picking in Practice
Authors G. Lambaré, M. Alerini and P. PodvinC021 Stereotomographic picking in practice Abstract 1 GILLES LAMBARÉ* MATHIAS ALERINI 1 PASCAL PODVIN* *École des Mines de Paris France 1 Sintef Petroleum Research Trondheim Norway Stereotomography allows estimating velocity macro models from seismic reflection data. Compared to travel time tomography the specificity of the method is that it considers locally coherent events. As a result Stereotomographic picking is easier and leads to a much denser coverage of the model. Several applications have demonstrated the efficiency but also the principal difficulties of the approach : regularization and picking. For picking in order to retain the efficiency of the method we
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Poststack Stereotomography – A Robust Strategy for Velocity Model Estimation
More LessC022 POSTSTACK STEREOTOMOGRAPHY: A ROBUST STRATEGY FOR VELOCITY MODEL ESTIMATION Abstract 1 Stereotomography which is based on the concept of locally coherent events appears to be a fast and powerful method for velocity macro-model estimation for depth imaging. However in presence of low signal-to-noise ratio and coherent noise automatic event picking on prestack data does not guarantee reliable information and may lead to wrong velocity models. In this paper we present a new implementation of Stereotomography where the picking is performed in poststack time domain. It allows a robust and reliable picking procedure. We will show results obtained using “poststack
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3D Velocity Model Determination with Kinematic Wavefield Attributes
Authors T. Klüver and E. DuveneckC023 3D VELOCITY MODEL DETERMINATION WITH KINEMATIC WAVEFIELD ATTRIBUTES E. DUVENECK AND T. KLÜVER Geophysical Institute University of Karlsruhe Hertzstr. 16 76187 Karlsruhe Germany Summary A tomographic inversion method is presented which uses traveltime information in the form of kinematic wavefield attributes (first and second spatial traveltime derivatives) to determine smooth laterally inhomogeneous 3D subsurface velocity models for depth imaging. The kinematic wavefield attributes can be extracted from the seismic prestack data by means of the common-reflection-surface (CRS) stack. The required input for the tomography can be picked in the resulting stacked zero-offset volume. Only very few picks are required
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Sub-Salt Velocity Model Update Using Wave-Equation Migration Perturbation Scans
More LessC024 Sub-salt Velocity Model Update using Wave- Equation Migration Perturbation Scans Abstract 1 We have developed a new practical sub-salt velocity model update procedure using wave equation based perturbation scans which aims to improve sub-salt depth imaging results. In our approach we have borrowed ideas from traditional time processing for picking velocity perturbation in the migrated stack domain which have been used for years in areas of poor signal to noise where image gather analysis is impossible or unreliable. In contrast to the time domain processing we perform our picking in a pseudo depth domain with the benefit of lateral
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Application of Stochastic Analysis & Modeling through Integrated Reservoir Characterization in GONBADLIGas Reservoir – A Common Field between Iran & Turkmanestan
Authors B. Mostaghel, A. Bashari, A. Kkakzad and A. AminC025 APPLICATION OF STOCHASTIC ANALYSIS & MODELINGTHROUGH INTEGRATED RESERVOIR CHARACTERIZATION IN GONBADLIGAS RESERVOIR ( A COMMON FIELD BETWEEN IRAN & TURKAMANESTAN) B. MOSTAGHEL* A. BASHARI** A.KKAKZAD* AND A.AMIN SOBHANI Islamic Azad University Science & Research Campus Ponak Tehran* Iranian Offshore Oil Company** Abstract : This paper presents an applied workflow results of an integrated from Petrophysical Geophysical and Reservoir Engineering aspects. The input data were provided for a high resolution Geo-statistical inversion with porosity co-simulation studies of gas saturated Lower Cretaceous Sandstones of the Kopet-Dagh Basin on Gonbadli field in North Eastern of Iran.This study covered part of a project
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Stochastic Inversion of OBC PZ Data at the Eldfisk Field
More LessC026 STOCHASTIC INVERSION OF OBC PZ DATA AT THE ELDFISK FIELD Abstract 1 The Eldfisk Field is a chalk reservoir located in the southern North Sea at about 3 km depth. Here chalk porosity is highly correlated to seismic acoustic impedance (AI). Given the reservoir lithology AI and likewise “seismic porosity” can be used to constrain the reservoir model away from well control. AI is also a layer property and is more closely linked to geology and geo-bodies than seismic reflection data which assist the interpretation process. Stochastic inversion subsequent to deterministic inversion was used among other reasons to preserve
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Probabilistic Gas Prediction at Hamaca Field, Venezuela
Authors M. Bee, E. Rietsch, B. Cerney and M. WaiteC027 PROBABILISTIC GAS PREDICTION AT HAMACA FIELD VENEZUELA 1 M. BEE 1 E. RIETSCH 1 B. CERNEY 1 AND M. WAITE 2 1 ChevronTexaco EPTC 4800 Fournace Place Bellaire TX 77401 USA The Hamaca Field currently has about 100 wells available for production. Production rate has been curtailed in about 5% of the wells due to high GORs and/or mechanical problems due to gas. Over the life of the project more than 1000 wells are planned to be drilled and thus a strong business driver is to enhance the prediction of gas zones from seismic in order to minimize their
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Improving 4D Seismic Repeatability Using 3D Factorial Kriging
Authors F. Jugla, M. Rapin, S. Legeron, C. Magneron and L. LivingstoneC028 IMPROVING 4D SEISMIC REPEATABILITY USING 3D FACTORIAL KRIGING Summary Geostatistical filtering (factorial kriging) was applied to the 1981-1996 time lapse seismic data of the TOTAL UK Alwyn field . The goal was to suppress the noises and acquisition artifacts in both datasets in order to improve the 4D repeatability. After filtering the measured coherency (both vertically and spatially) between the two equalized cubes was largely improved. Consequently the 4D events seen in the interval of production appeared to be better focused which permitted to perform a timelapse interpretation with a much higher level of confidence. Introduction 1 The 1981
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Stochastic Pore Fluid Modulus Inversion from Seismic and Rock Physics Data, a Case Study
Authors I. Varela, J. Castagna and W. LambC029 STOCHASTIC PORE FLUID MODULUS INVERSION FROM SEISMIC AND ROCK PHYSICS DATA A CASE STUDY Summary 1 This study involves a stochastic inversion from seismic data and well control to the fluid modulus and its probability within target layers of a hydrocarbon bearing field. The probabilistic inversion method based on Gassmann’s equation as described by White and Castagna (2002) is applied. The method deduces information about the type of fluid encountered in a particular rock by comparing its seismic response to that obtained when the rock is saturated with a fluid of known modulus. To perform this operation a synthetic
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Prestack Seismic Inversion for Sw Modeling
Authors B. Bankhead and A. SenaC030 PRESTACK SEISMIC INVERSION FOR SW MODELING Abstract 1 A workflow was developed as part of a field development project with the objective of building seismically constrained reservoir models of porosity and Sw while retaining the vertical resolution of the well log data and the spatial resolution of the seismic data. The inversion workflow starts with significant pre-conditioning of the CDP gathers and calibration to well data. AVO attributes were calculated for ∆ρ/ρ and deterministically and stochastically inverted for ρ. Once the seismically derived ρ volume was completed it was utilized as soft data for a Sequential Gaussian Simulation for
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Ray-Based Stochastic Inversion
Authors D.W. van der Burg, A.R. Verdel and C.P.A. Wapenaarhas to be extended wavelet� to the analytical ��� +�� � ��� with� the Hilbert transform � of� (if caustics are � absent:� =0). The phase function or � eikonal� is real-valued. � =� ��� � � wavelet)� The synthetic data tests have been performed using the simple model presented in Fig. 3: a 2.5D isotropic-elastic subsurface with constant��=2500 m/s ��/� � =1.7 (resulting in straight rays) and Gaussian reflectors and layer-density variations. The¨ ¤ -component of the single P-wave reflection response of the� -th contrast can be calculated analytically for this model (thereby neglecting the minor amplitude loss for
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Quantifying Uncertainty in Statistical Regression Techniques for Reservoir Mapping
Authors P.M. Wong and S.T. BoernerC032 QUANTIFYING UNCERTAINTY IN STATISTICAL REGRESSION TECHNIQUES FOR RESERVOIR MAPPING Abstract 1 Reservoir characterization requires a good understanding of the spatial distribution of reservoir properties. Statistical regression techniques such as multiple regression and neural networks have been used extensively for this purpose. This paper presents a novel technique to understand the limitations of the reservoir data and to quantify the uncertainty of the subsequent mapping results. We use the Pinedale Anticline dataset in Wyoming to illustrate the workflow and the usefulness of the technique. A set of structural and seismic attributes is to map the cumulative gas production a proxy
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Fractured Reservoirs Management – Recent Progress and Promising Perspectives
Authors B. Bourbiaux, R. Basquet, L.Y. Hu, S. Jenni and A. LangeC033 Fractured reservoirs management: recent progress and promising perspectives B. Bourbiaux R. Basquet L.Y. Hu S. Jenni and A. Lange Institut Français du Pétrole. Summary In the recent years the petroleum industry has become more and more aware of the determining role played by fractures and faults on field production. The reasons invoked include an improved fracture detection from efficient logging tools and advanced interpretation of high-quality seismic responses and the increasing number of mature fields where unexpected production difficulties such as breakthroughs raise suspicions about the presence of fractures. At the same time modelling methodologies and software have been
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Fractures in Carbonates – Aligned or Not Aligned? A Case Study
Authors E. Kozlov, N. Baransky, A. Antonenko, E. Koshchuk and I. Garagash1 C034 FRACTURING IN CARBONATES – ALIGNED OR NOT ALIGNED? (A CASE STUDY) N. BARANSKY 1 E. KOZLOV 1 A. ANTONENKO 2 E. KOSHCHUK 2 and I. GARAGASH* 3 SUMMARY Development of an oil field in East Siberia is hampered by sharp lateral variation of productivity details of which remain obscure. The productivity is related to zones of increased fracturing in a tight carbonate reservoir. Fracturing is assumed to be azimuthally aligned but no definite information on the degree of alignment is available. To lower the uncertainty of the fractured zone detection a set of diverse attributes assumingly related to
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