An integrated approach to lithofacies characterization of a sandstone reservoir using the Single Normal Simulation equation: A Case study

Mahadasu, Nagendra Babu; Ambati, Venkatesh; Nair, R.R.

doi:10.1016/j.petrol.2021.109626

Cited by 3 publications

(4 citation statements)

References 43 publications

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“…Strebelle and Cavelius [25] enhanced Snesim by adding intermediate sub-grids and devising a new data template, allowing the user to resolve memory and performance issues. Combining pre-stack seismic inversion, Bayesian classification, and Snesim, Babu et al [26] constructed an enhanced lithofacies model that reproduced the continuity of lithofacies with reliability.…”

Section: Introductionmentioning

confidence: 99%

“…This study presents a novel approach for determining the Snesim simulation parameters; however, it does not enhance the Snesim algorithm itself. In a recent study, Babu et al [26] suggested using Snesim to characterize lithofacies to enhance the representation of geological facies continuity in meandering fluvial sandstone reservoirs. The reported seven groups of comparisons showed that in one or two small places, the simulation continuity of the Snesim realizations was slightly better than Bayesian classification.…”

Section: Introductionmentioning

confidence: 99%

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A Method for Enhancing the Simulation Continuity of the Snesim Algorithm in 2D Using Multiple Search Trees

Zhou,

He,

Wang

et al. 2024

Energies

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Multiple-point geostatistics (MPS) has more advantages than two-point geostatistics in reproducing the continuity of geobodies in subsurface reservoir modeling. For fluvial reservoir modeling, the more continuous a channel, the more consistent it is with geological knowledge in general, and fluvial continuity is also of paramount importance when simulating fluid flow. Based on the pixel-based MPS algorithm Snesim, this study proposes a method that utilizes multiple search trees (MSTs) to enhance simulation continuity in 2D fluvial reservoir modeling. The objective of the MST method is to capture complete data events from a training image (TI), which aims to achieve enhanced continuity in fluvial reservoir sublayer modeling. By resorting to search neighborhoods based on their proximity to the central node of the data template, multiple data templates that correspond to the MSTs will be generated. Here, four data templates were generated by arranging the relative search neighborhood coordinates in ascending and descending order with respect to the central node. Parallel computing was tried for the construction of the search trees. This work calculated the conditional probability distribution function (CPDF) of the simulating nodes by averaging the CPDFs derived from the MSTs, and double retrieval was employed to filter out the search trees that possessed an inaccurate local CPDF for the simulating nodes. In addition, the connected component labeling (CCL) method was introduced to evaluate the simulation continuity in MPS. The results indicated that the MST method can enhance the simulation continuity of the Snesim algorithm by reproducing the fine connectivity of channel facies in 2D fluvial reservoir modeling.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Method for Enhancing the Simulation Continuity of the Snesim Algorithm in 2D Using Multiple Search Trees

Zhou,

He,

Wang

et al. 2024

Energies

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“…For a few years, seismic elastic properties have been used to discriminate hydrocarbon zone from other zones (Brine sand and shale) 12 , 13 . The seismic inversion technique (prestack inversion and AVO analysis) has become essential for understanding elastic properties (Z P , Z S , ρ & V P /V S ratio) of lithology types and petrophysical parameters 14 . A study explained the practical approach by the different seismic inversion techniques to identify the lithofacies 15 .…”

Section: Introductionmentioning

confidence: 99%

“…The crucial source rocks are the coal-shale unit of the Barial group from the Oligocene age, the shale of Koplili formation from Eocene, and Sylhet/Tura's formations of Paleocene. Girujan clays in the Assam Shelf on the northern side and Bokabil clays on the southern part act as major seals in the Upper Assam Basin 14 . Furthermore, many interbedded shale bands within the Oligocene formation also act as the local seals within the group.…”

Section: Introductionmentioning

confidence: 99%

Characterization of complex fluvial-deltaic deposits in Northeast India using Poisson impedance inversion and non-parametric statistical technique

Mahadasu

Ambati

Nair

2022

Sci Rep

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Characterizing complex fluvial-deltaic deposits is a challenging task for finding hydrocarbon discoveries. We described a methodology for predicting the hydrocarbon zones from complex well-log and prestack seismic data. In this current study, data analysis involves an integrated framework based on Simultaneous prestack seismic inversion (SPSI), target correlation coefficient analysis (TCCA), Poisson impedance inversion, and non-parametric statistical analysis, and Bayesian classification. First, seismic elastic attributes from prestack seismic data were estimated. They can provide the spatial distribution of petrophysical properties of seismic data. Then target correlation coefficient analysis (TCCA) was estimated roration factor “c” from well-log data. Using the seismic elastic attributes and rotation factor “c”, Poisson impedance inversion was performed to predict the Poisson impedance volume. Finally, Bayesian classification integrated the Poisson impedance volume with non-parametric probabilistic density functions (PDFs) to estimate the spatial distribution of lithofacies. Despite complex characteristics in the elastic properties, the current study successfully delineated the complex fluvial-details deposits. These results were verified with conventional findings through numerical analysis.

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Reservoir characterization: State-of-the-art, key challenges and ways forward

Ganguli,

Dimri

2023

Developments in Structural Geology and Tectonics

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An integrated approach to lithofacies characterization of a sandstone reservoir using the Single Normal Simulation equation: A Case study

Cited by 3 publications

References 43 publications

A Method for Enhancing the Simulation Continuity of the Snesim Algorithm in 2D Using Multiple Search Trees

A Method for Enhancing the Simulation Continuity of the Snesim Algorithm in 2D Using Multiple Search Trees

Characterization of complex fluvial-deltaic deposits in Northeast India using Poisson impedance inversion and non-parametric statistical technique

Reservoir characterization: State-of-the-art, key challenges and ways forward

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