An interpreter's guide to understanding and working with seismic-derived acoustic impedance data

Latimer, Rebecca; Davidson, Rick; Riel, P. van

doi:10.1190/1.1438580

Cited by 223 publications

(79 citation statements)

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“…The final step of the inversion process is run through all 3D seismic volume to create 3D acoustic impedance between wells and cover all study area figure (14). The final results of acoustic impedance (AI) inversion and used four wells (Ns-1,2,3, and 5) to the inverted seismic data and blind well (Ns-4) to quality control inverted data as shown in figure (15). Acoustic impedance (AI) from wells data were posted on vertical sections passed through wells in the study area which shows very good correlation between original and calculated acoustic impedance (AI), in figures the low acoustic impedance shows the good porosity and promising areas in the oil field.…”

Section: Inversion Resultsmentioning

confidence: 99%

“…Inversion of seismic data alone leads to band-limited Acoustic Impedance estimation [13], therefore, in seismic inversion process, the low frequency content must be compensated by build 3D geologic model of (AI) from well logs to obtain absolute rather than relative (band-limited) inverted property values [14], [15] figure (13) shows Initial model. …”

Section: Clow Frequency Model Lfm (Initial Model)mentioning

confidence: 99%

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3D Reservoir Study for Yamama Formation in Nasirya Oil field in Southern of Iraq

Khorshid¹,

Al-Sharaa²,

Mohammed³

2017

IJAERS

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Section: Inversion Resultsmentioning

confidence: 99%

Section: Clow Frequency Model Lfm (Initial Model)mentioning

confidence: 99%

3D Reservoir Study for Yamama Formation in Nasirya Oil field in Southern of Iraq

Khorshid¹,

Al-Sharaa²,

Mohammed³

2017

IJAERS

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“…Rock physics provides the fundamental basis for quantitative interpretation of seismic amplitudes in terms of sediment parameters, like porosity, quartz:clay ratio, sorting, and diagenetic cements (Castagna, 2001;Braasksma et al, 2002;Gutiérrez et al, 2002;Latimer et al, 2000;Florez, 2005). In quantitative seismic interpretation, model parameters are calibrated at the well locations.…”

Section: Introductionmentioning

confidence: 99%

Imaging Reservoir Quality: Seismic Signatures of Geologic Processes

Mavko¹

2008

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Lithofacies successions from diverse depositional environments show distinctive patterns in various rock-physics planes (velocity-porosity, velocity-density and porosityclay). Four clear examples of decameter-scale lithofacies sequences are documented in this study: (1) Micocene fluvial deposits show an inverted-V pattern indicative of dispersed fabric, (2) a fining-upward sequence of mud-rich deep deposits shows a linear trend associated with laminated sand-clay mixtures, (3) sand-rich deposits show a pattern resulting from the scarcity of mixed lithofacies, and (4) a coarsening-upward sequence shows evidence of both dispersed and horizontally laminated mixed lithofacies, with predominating dispersed mixtures generated by bioturbation..It was observed that carbonate-cemented sandstones are extremely heterogeneous in the project deep-water study area. Those from the base of incisions are usually associated with lower shaliness, lower porosity and higher P-impedance, while from the top of flooding surfaces exhibit higher shaliness, higher porosity and lower P-impedance. One rock physics model that captures the observed impedance-porosity trend is the "stiff-sand model." For this model, the high-porosity end-member is unconsolidated sand whose initial porosity is a function of sorting and shaliness, while the low-porosity end-member is solid mineral. These two end points are joined with a Hashin-Shtrikman equation.A systematic variation of quartz:clay ratio from proximal to distal locations was observed in the study area even within a single facies. The quartz:clay ratio changes from [0.5:0.5] to [1:0] along the direction of flow, based on the trends of P-impedance vs. porosity as predicted by the rock model for uncemented sands. The results are in agreement with spill-and-fill sequence stratigraphic model in mini-basin setting. In addition, porosity at the distal location (~25 % to 35%) is higher than the porosity at the proximal location (~20 % to 23%). This trend is explained by a sequence stratigraphic model which predicts progressive increase in sorting by turbidity current along the flow, as well as, quantified by a rock model that heuristically accounts for sorting. The results can be applied to improve quantitative predication of sediment parameters from seismic impedance, away from well locations. Figure 1. Conceptual model illustrating the concomitant changes in porosity and elastic properties of clastic sediments. These textural effects have been documented by previous studies: e.g. , , , , , , , . Figure 2. Rock-physics template to evaluate the patterns of concomitant variations of porosity and elastic properties within clastic sequences. Porosity determined from density and neutron (in sands) logs, clay fraction determined from gamma ray and the difference between neutron and density porosities. Figure 6. Bivariate histograms of well-log P-wave velocity and porosity (PHID) from the four different clastic depositional sequences shown in Figure A-10. Q indicates the sand points (quartzose sand...

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“…A sísmica de reflexão é simplificadamente a convolução de uma ondícula com uma série de refletividades, que representa mudanças relativas na impedância acústica. Fazendo com que esta propriedade seja a união natural entre dados sísmicos e perfis de poço (LATIMER, et al, 2000). Em aplicações reais, a impedância acústica é calculada por meio da multiplicação do inverso do perfil sônico, representando a velocidade, pelo perfil de densidade (VIDAL, et al, 2007).…”

Section: Impedância Acústicaunclassified

“…O processo de inverter os dados sísmicos para obter uma representação tridimensional da impedância acústica é uma área com um grande número de aportes na literatura, devido à acurácia na interpretação da impedância acústica (LATIMER, et al, 2000). Embora, realizar uma inversão do reservatório completo é um problema de difícil solução que requer um estudo da relação existente entre a sísmica e a impedância acústica.…”

Section: Inversão Genéticaunclassified

Estudo Sobre Caracterização De Reservatórios Por Programação Genética

GUILLEN¹

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An interpreter's guide to understanding and working with seismic-derived acoustic impedance data

Cited by 223 publications

References 0 publications

3D Reservoir Study for Yamama Formation in Nasirya Oil field in Southern of Iraq

3D Reservoir Study for Yamama Formation in Nasirya Oil field in Southern of Iraq

Imaging Reservoir Quality: Seismic Signatures of Geologic Processes

Estudo Sobre Caracterização De Reservatórios Por Programação Genética

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