What is the best seismic attribute for quantitative seismic reservoir characterization?

Cooke, Dennis; Sena, Arcangelo; O’Donnell, Greg; Muryanto, T.; Ball, Vaughn

doi:10.1190/1.1820829

Cited by 23 publications

(11 citation statements)

References 2 publications

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“…The thin-bed tuning model has been widely employed to predict thin-bed reservoirs. A number of case studies have been published during the last decade (Brown, 1996;Hoover et al, 1999;Cooke et al, 1999). In reality, however, a sequence of interest is rarely developed by a single reservoir layer or by multiple widely-spaced reservoir layers.…”

Section: Evaluation Of the Conventional Thin-bed Tuning Modelmentioning

confidence: 99%

“…Chen et al (1997) suggested that more than 200 seismic attributes (not all of them are independent) would be useful in constructing reservoir depositional model. Other researchers (Horkowitz, et al, 1996;Hardage et al, 1996b;Cooke, et al, 1999) claimed that instantaneous frequency and/or instantaneous phase are effective at highlighting facies changes. Similarity analysis based on multiple point-based attributes, their means and deviations was used to map seismic facies (Michelena, et al, 1998).…”

Section: Well-based Depositional Modelmentioning

confidence: 99%

“…Bahorich et al (1995) invented this technique and has since been modified by introducing semblance, structural dip and azimuth (Marfurt et al 1998;. Bahorich et al (1995), Marfurt et al (1998;, Cooke (1999), andChopra (2001) demonstrated that coherence can be used to define stratigraphic features. Our study suggested that the resolution depends upon the scale and the degree of variations in the patterns of neighboring traces.…”

Section: Seismic Trace Coherencementioning

confidence: 99%

“…Progress is being made towards characterization of thin-bed sandstone reservoirs using: (1) instantaneous seismic attributes (Hardage et al , 1996aHorkowitz et al, 1996); (2) amplitude (Cooke et al 1999;Hoover, 1999); (3) frequency decomposition (Partyka et al, 1999); and (4) Bayesian simulation (Gastaldi et al, 1998). To characterize thin-bed reservoirs, however, there are two key factors need to be taken into consideration.…”

Section: Introductionmentioning

confidence: 99%

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Calibration of Seismic Attributes for Reservoir Characterization

Pennington¹

2002

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The project, "Calibration of Seismic Attributes for Reservoir Calibration," is now complete. Our original proposed scope of work included detailed analysis of seismic and other data from two to three hydrocarbon fields; we have analyzed data from four fields at this level of detail, two additional fields with less detail, and one other 2D seismic line used for experimentation. We also included time-lapse seismic data with ocean-bottom cable recordings in addition to the originally proposed static field data. A large number of publications and presentations have resulted from this work, inlcuding several that are in final stages of preparation or printing; one of these is a chapter on "Reservoir Geophysics" for the new Petroleum Engineering Handbook from the Society of Petroleum Engineers.Major results from this project include a new approach to evaluating seismic attributes in timelapse monitoring studies, evaluation of pitfalls in the use of point-based measurements and facies classifications, novel applications of inversion results, improved methods of tying seismic data to the wellbore, and a comparison of methods used to detect pressure compartments. Some of the data sets used are in the public domain, allowing other investigators to test our techniques or to improve upon them using the same data.From the public-domain Stratton data set we have demonstrated that an apparent correlation between attributes derived along 'phantom' horizons are artifacts of isopach changes; only if the interpreter understands that the interpretation is based on this correlation with bed thickening or thinning, can reliable interpretations of channel horizons and facies be made. From the publicdomain Boonsville data set we developed techniques to use conventional seismic attributes, including seismic facies generated under various neural network procedures, to subdivide regional facies determined from logs into productive and non-productive subfacies, and we developed a method involving cross-correlation of seismic waveforms to provide a reliable map of the various facies present in the area. The Wamsutter data set led to the use of unconventional attributes including lateral incoherence and horizon-dependent impedance variations to indicate regions of former sand bars and current high pressure, respectively, and to evaluation of various upscaling routines. The Teal South data set has provided a surprising set of results, leading us to develop a pressure-dependent velocity relationship and to conclude that nearby reservoirs are undergoing a pressure drop in response to the production of the main reservoir, implying that oil is being lost through their spill points, never to be produced. Additional results were found using the public-domain Waha and Woresham-Bayer data set, and some tests of technologies were made using 2D seismic lines from Michigan and the western Pacific ocean.

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Section: Evaluation Of the Conventional Thin-bed Tuning Modelmentioning

confidence: 99%

Section: Well-based Depositional Modelmentioning

confidence: 99%

Section: Seismic Trace Coherencementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Calibration of Seismic Attributes for Reservoir Characterization

Pennington¹

2002

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“…Reservoir characterization (RC) studies are usually used to predict the porosity, permeability, pore fluid, water saturation, net-to-gross, and many other attributes of reservoirs. Over the past several years, RC has been extensively applied in exploration and it has the advantage of using well data in tandem with seismic data, instead of wells data alone (Cooke et al 1999;Veeken and Silva 2004).…”

mentioning

confidence: 99%

Integrated study of seismic and well data for porosity estimation using multi-attribute transforms: a case study of Boonsville Field, Fort Worth Basin, Texas, USA

et al. 2015

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Depositional facies controls on the diagenesis and reservoir quality of the Messinian Qawasim and Abu Madi formations, onshore Nile Delta, Egypt

2018

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The Messinian Qawasim and Abu Madi formations are the main hydrocarbon exploration targets in the onshore Nile Delta. Qawasim Formation constitutes prograditional deltaic system from prodelta and distal delta‐front (distal deltaic facies) to proximal delta‐front and delta‐plain (proximal deltaic facies). Abu Madi sediments on the other hand change upward from continental subaerial gravity‐flow and fluvial facies to marginal‐marine estuarine facies. The seismic attribute (RMS amplitude) and petrophysical analyses revealed that solely the Qawasim proximal deltaic and Abu Madi fluvial facies define the potential reservoir targets. The reservoir quality of the Qawasim distal deltaic and the Abu Madi estuarine facies was completely deteriorated during eodiagenesis by calcite and glauconite cementation (mean > 7.3% and 4.5%, respectively). Conversely, the depositional setting of the Qawasim proximal deltaic and Abu Madi fluvial facies favoured a precipitation of scattered eodiagenetic calcite (mean < 2.5%), which supported the facies framework against mechanical compaction and preserved the intergranular volume (IGV). Chemical compaction, smectite infiltration, quartz cementation, and clay minerals authigenesis were more pronounced in the relatively deeper Abu Madi fluvial facies. These burial attributes caused a large‐scale reservoir heterogeneity. Therefore, the relatively shallower Qawasim proximal deltaic facies presents the best reservoir target in the Messinian sequence of the Nile Delta. This study reveals that in analogous systems, the depositional environment largely controls the diagenetic pathways and, hence, the reservoir quality.

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What is the best seismic attribute for quantitative seismic reservoir characterization?

Cited by 23 publications

References 2 publications

Calibration of Seismic Attributes for Reservoir Characterization

Calibration of Seismic Attributes for Reservoir Characterization

Integrated study of seismic and well data for porosity estimation using multi-attribute transforms: a case study of Boonsville Field, Fort Worth Basin, Texas, USA

Depositional facies controls on the diagenesis and reservoir quality of the Messinian Qawasim and Abu Madi formations, onshore Nile Delta, Egypt

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