can post-stack inversion predict reservoir thickness

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can post-stack inversion predict reservoir thickness

Estimating V sand and reservoir property from seismic

The use of seismic attributes and inversion results (pre-stack or post-stack) has proven useful in reservoir characterization (Na''imi et al. 2014;Farfour et al. 2015;Cataldo & Leite 2018 ...

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Reservoir Characterisation Using Seismic Inversion Techniques …

Post-stack inversion shows impedance anomaly around 1580-1590 ms with value 22.000-25.000 (m/s)*(g/cc). Petrophysical analysis estimated this anomaly as layer-x sandstone with gas fluid saturated.

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Rock physics inversion workflow on reservoir parameters

In combination with the pre-stack seismic inversion, the porosity and saturation are estimated in the target stratum, and the estimate results are smoothed to output the final inversion data volume.

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Prediction of reservoir physical parameters based on adaptive step …

Reservoir physical parameters can provide direct and reliable basis for reservoir description. At present, most post and pre-stack seismic inversion methods …

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Estimation of Reservoir Porosity Using Seismic Post-Stack Inversion …

This study estimates reservoir properties (i.e. acoustic impedance and porosity) by applying post-stack seismic inversion techniques to a gas prone reservoir in the Sawan area, Southern Indus ...

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Application of seismic post-stack inversion for gas reservoir ...

The thickness of net pay is 2-8 meters. Post-stack inversion shows impedance anomaly around 1580-1590 ms with value 22.000-25.000 ... and density (ρ) from which to predict the fluid and lithology ...

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Characterization of secondary reservoir potential via seismic inversion …

Utilizing the results of studies from well data to predict and map reservoir ... seismic post stack impedance inversion can be ... thickness of net pay is 2-8 meters. Post-stack inversion shows ...

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Integrated seismic attributes and stochastic inversion for reservoir ...

Sand-lithofacies distributions are a vital component of reservoir characterization and the generation of successful reservoir models. Through the integration of selected seismic attributes with post-stack stochastic seismic inversion reservoir distributions and architectures are accurately delineated for the Upper Cretaceous …

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Integrated geological data, 3D post‐stack seismic inversion, …

The reservoir quality of the GB was predicted by using the post-stack seismic inversion, which indicated a high porosity interval (25%–30%). Moreover, the …

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Application of pre-stack simultaneous inversion to predict gas …

Pre-stack simultaneous inversion is a seismic exploration technology which is widely applied to recognize lithology and detect oil and gas by analyzing the feature of amplitude variation versus offset (AVO). A gas-bearing reservoir can cause an obvious change in P-impedance and density. To effectively discriminate gas-bearing dolomite …

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(PDF) Seismic Reservoir Characterization Using Model Based Post-stack ...

Numerous seismic techniques, such as multi-attribute seismic analysis [1][2][3][4][5][6], post-stack seismic inversion [7][8][9] [10] [11], and prestack seismic inversion [12][13][14][15][16 ...

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(PDF) View Online Export Citation CrossMark Prediction

The inversion analysis is used in this paper to predict the porosity distribution. 3D seismic surveys (migrated post-stack) of the northern part of Rumaila oil field and well data used for this study.

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Application of Pre-stack Poisson Impedance Inversion in the

It is difficult to effectively identify them using conventional seismic attributes of post-stack and pre-stack data. The sensitivity analysis of logging data shows that pre-stack Poisson impedance can well distinguish igneous and carbonate rocks. Therefore, simultaneous pre-stack inversion is carried out on the basis of petro-physical analysis.

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Model-based Seismic Inversion: Comparing deterministic and ...

For a post-stack inversion the property model is an impedance model. Pre-stack inversions require input (Vp, Vs, and rhob) property models. ... there are an infinite number of reservoir thickness & impedance combinations that give the same seismic amplitude. ... but it is difficult to predict when this will happen or how significant the change ...

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Thin reservoir characterization using geostatistical seismic inversion ...

Application of seismic post-stack inversion for gas reservoir delineation: A case study of Talang Akar Formation, South Sumatera Basin AIP Conference Proceedings 2023, 020269 (2018); https://doi ...

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Post-stack Seismic Inversion | SpringerLink

This chapter discusses several types of post-stack seismic inversion methods namely model-based inversion, colored inversion, sparse spike inversion, …

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(PDF) The Application of Post-Stack Geostatistics Inversion in …

The applied result of the inversion method in Fuyu Oilfield in Jilin Province shows that, the geostatistical inversion method can effectively predict reservoirs, especially thinner reservoirs by ...

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Seismic inversion (post-stacking vs pre-stacking)

Seismic inversion (post-stacking vs pre-stacking) Seismic inversion, most of the time used in oil and gas industry, is the process used to reconstruct earth properties. It combines seismic and well data to predict rock properties (lithology, fluid content, porosity) across a survey. These rock properties can be used to identify …

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Prediction of Petrophysical Properties using Post Stack Seismic ...

For post-stack inversion, the data was inverted into a very high-resolution P-impedance volume. The analysis depicts that all four inversion methods provide mutually consistent subsurface ...

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(PDF) The Application of Post-Stack Geostatistics …

The applied result of the inversion method in Fuyu Oilfield in Jilin Province shows that, the geostatistical inversion method can effectively predict reservoirs, especially thinner reservoirs by ...

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Combined petrophysics and 3D seismic attributes to predict shale ...

The seismic attributes and P-wave anisotropy are used to predict the strength and direction of fractures based on post-stack and pre-stack seismic data, respectively. Finally, we integrate the results of shale reservoir fracture development, TOC content, brittleness and high-quality shale thickness, and determine the favourable areas.

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Characterization of carbonate reservoir using post-stack global ...

PGGAI and model based post stack deterministic inversion results are compared to observe the accuracy of prediction in terms of resolving stacked layering in the reservoir. In a model based post-stack inversion, a simple initial acoustic impedance model is convolved with the wavelet (extracted from seismic) to derive a synthetic …

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Use of Probabilistic Neural Network and Post Stack Inversion to …

Inversion of the post-stack yields Zp volume ( Figure 10 ). A geo-statistical model can predict many petro-physical parameters from well and seismic data. Using probabilistic neural networks, effective porosity and shale content are calculated. The logs were effective porosity, water saturation, and shale content.

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Use of PNN and Post Stack Inversion to Predict Reservoir …

We exhibited their validity and significant accuracy in predicting various reservoir parameters using post-stack inversion and neural network analysis. One of these …

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Application of Pre-stack Inversion in Fine Potential Tapping

Statistics of post-test well data shows that the accuracy of pre stack inversion can reach 80.7% for thin interbedded sand bodies with a thickness of 1–2 m, and over 85% for sand bodies with a thickness of more than 2 m; The fluid prediction has also been verified by oil saturation analysis of coring wells.

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Delineation of thin-bedded sands and porosity using post-stack …

Post-stack seismic inversion tightly integrates different datasets and provides an accurate and high-resolution image of the subsurface. Selecting a suitable …

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Five-dimensional facies-driven seismic inversion for igneous …

Compared with post-stack seismic inversion, pre-stack seismic inversion can simultaneously obtain P- and S-wave velocities, density, and elastic parameters due …

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Model-based Seismic Inversion: Comparing …

For a post-stack inversion the property model is an impedance model. Pre-stack inversions require input (Vp, Vs, and rhob) property models. ... there are an infinite number of reservoir thickness & impedance …

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Reservoir properties prediction using seismic inversion and ...

Russell (1988) [3] divides the inversion seismic method into two groups, namely pre-stack inversion and post-stack inversion. This research w ill discuss post-stack inversion related to am plitude ...

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Applications of AVO Attributes in the Prediction of Tight Gas ...

The target formation of a gas field in the middle south part of the Xihu sag of the East China Sea as the characteristics of deep burial depth, serious heterogeneity, low porosity, and permeability is inapplicable to predict reservoir using the post-stack seismic attribute and inversion technique failed to because the acoustic impedance of sand and …

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Post-Stack and Pre-Stack Inversion: CPET Application to …

Post Stack Inversion AI Estimate. Top Macedon. Base. Top Macedon. ... • Post Stack can be affected by AVO effects due to stacking of the angle gathers ... 20m in thickness • Porosity: 27% • Shale: 15% • Sand: 85% • Permeability: 2300 mD • 22 API - 24. CPET Model: Determining Sw

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(PDF) Reservoir characterization utilizing pre-stack inversion and ...

The primary aim of this study is to establish a methodology for direct porosity estimate from 3D post-stack inversion (Zp) and assess its reliability. ... can be employed to predict reservoir ...

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Post-stack seismic inversion and attribute analysis in

Das et al. (2017) investigate post-stack seismic amplitude inversion, and attribute analysis and establish its application in creating a quantitative prediction model of reservoir properties. It ...

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POROSITY MAPPING FROM INVERSION OF POST-STACK …

data, as well as(c) direct inversion of post-stack seismic data to predict porosity from well log. The methodology is applied to 2D post-stack data of shallow offshore of Krishna-Godavari (K-G) basin.

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Post-stack seismic inversion through probabilistic neural networks …

This research estimated reservoir properties applying a conventional inversion method and two AI algorithms to investigate the feasibility of constructing a reservoir properties model directly from a post-stack volume of the Frontier Second …

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Improved Prediction of Thin Reservoirs in Complex Structural …

For this purpose, constrained sparse spike inversion and seismic waveform indication inversion were employed to comparatively evaluate oil and gas reservoirs, …

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Resource potential of gas reservoirs in South Pakistan and …

Seismic post-stack inversion facilitates the interpretation, mapping and quantification of hydrocarbon-bearing zones. This study estimates reservoir properties (i.e. acoustic impedance and porosity) by applying post-stack seismic inversion techniques to a gas prone reservoir in the Sawan area, Southern Indus Basin, Pakistan. In this particular …

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Use of Probabilistic Neural Network and Post Stack Inversion …

Post-stack seismic inversion is used to estimate reservoir parameters such as porosity, saturation, shale content, etc. An application of model-based seismic inversion and probabilistic neural network to post-stack seismic data for reservoir characterization is described. The paper is divided into two pieces for this assignment. Initial post-stack

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(PDF) Application of post-stack Rune Inversion for reservoir rock ...

In this study, we tested a novel post-stack inversion approach called ''Rune Inversion (RI)'' to estimate reservoir rock properties of Paleocene formation in Sulaiman Foldbelt, Onshore Pakistan.

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Prestack Seismic Inversion and Seismic Attribute Analysis

Post-stack seismic attributes can be extracted on a time slice or between two horizons (Brown, 2001). Compared to seismic amplitudes, the results of inversion have higher resolution and convey ...

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Integrating seismic attributes, post-stack seismic inversion, and …

On top of that, the post-stack deterministic inversion depends on the ONS seismic reflection coefficient, sampling, and frequency (50 Hz) being higher than …

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