Application of Simultaneous Inversion Method to Predict the Lithology and Fluid Distribution in “X” Field, Malay Basin

Yoong, Ashley Aisyah; Lubis, Luluan Almanna; Ghosh, Deva Prasad

doi:10.1088/1755-1315/38/1/012007

Cited by 9 publications

(3 citation statements)

References 5 publications

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“…where R(θ) is the P-wave reflectivity at an incident angle (θ), while V, W, and ρ are the average P-wave velocity, S-wave velocity, and density between the two media, respectively. The idea of Fatti's equation [93] is to re-express the Aki-Richards equation in (12) in terms of the acoustic and shear impedances as follows:…”

Section: Isotropic Simultaneous Inversionmentioning

confidence: 99%

“…Moreover, a geostatistical inversion method was used to predict reservoir properties in a higher certainty than that of deterministic methods [10]. In addition, some studies derived elastic properties from prestack seismic inversion to define facies [11,12]. Another straightforward methodology is to combine petroelastic modeling and stochastic inversion to predict hydrocarbon zones based on Bayesian theory [13].…”

Section: Introductionmentioning

confidence: 99%

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Estimation of Litho-Fluid Facies Distribution from Zero-Offset Acoustic and Shear Impedances

2022

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Seismic data are considered crucial sources of data that help identify the litho-fluid facies distributions in reservoir rocks. However, different facies mostly have similar responses to seismic attributes. In addition, seismic anisotropy negatively affects the facies predictors extracted from seismic data. Accordingly, this study aims at estimating zero-offset acoustic and shear impedances based on partial-stack inversion by two methods: statistical modeling and a multilayer feed-forward neural network (MLFN). The resulting impedance volumes are compared to those obtained from isotropic simultaneous inversion by using impedance logs. The best impedance volumes are applied to Thomsen’s anisotropy equations to solve for the anisotropy parameters Epsilon and Delta. Finally, the shear and acoustic impedances are transformed into elastic properties from which the facies and fluid distributions are predicted by using the logistic regression and decision tree algorithms. The results obtained from the MLFN show better matching with the impedance and facies logs compared to those obtained from isotropic inversion and statistical modeling.

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Section: Isotropic Simultaneous Inversionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Estimation of Litho-Fluid Facies Distribution from Zero-Offset Acoustic and Shear Impedances

2022

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“…; Abe et al., 2018). Acoustic impedance (AI) is already being utilized to identify information about rock physical characteristics for performing litho‐predication analysis and fluid content analysis (Yoong et al., 2016). Nevertheless, there are some limitations that can lead to confusion in distinguishing the lithology and fluid content.…”

Section: Introductionmentioning

confidence: 99%

Reservoir characterization and density–velocity analysis using rock physics and integrated multi‐types post‐stack inversion to identify hydrocarbon possibility and litho‐prediction of Mishrif formation in the Kumaite and Dhafriyah oil fields, Southern Iraq

Albakr

Abd

Hasan

et al. 2022

Geophysical Prospecting

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Litho‐prediction is a non‐unique process that requires more than integrated techniques to reinforce the final results and harmonize hydrocarbon probability. Consequently, integrated procedures have been started with log data of the Mishrif formation in different site locations and involve petrophysics and rock physics analyses altogether to evaluate the general situation of the formation. In the second stage, we performed seismic inversion for 3D seismic data in the Kumaite and Dhafriyah oil fields. A brand‐new technique called pseudo–post‐stack simultaneous inversion has been used to calculate all the elastic engineering properties of the seismic cube. This method is performed by utilizing a real genetic inversion model that would be used to calibrate a low‐frequency model of simultaneous inversion to enhance the resolution and event isolation of the final inverted cube to identify reservoir characterization. The final output then is used to perform quantitative analysis and determine the productive layers within the area of interest. Density–velocity analysis also plays an extraordinary role in establishing the main relationship between different elastic parameters. Finally, by using the local equation and global density–velocity equations, different velocities of carbonate succession have been calculated.

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Selection of Sensitive Post-Stack and Pre-Stack Seismic Inversion Attributes for Improved Characterization of Thin Gas-Bearing Sands

Shakir

Ali

Hussain

et al. 2021

Pure Appl. Geophys.

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Application of Simultaneous Inversion Method to Predict the Lithology and Fluid Distribution in “X” Field, Malay Basin

Cited by 9 publications

References 5 publications

Estimation of Litho-Fluid Facies Distribution from Zero-Offset Acoustic and Shear Impedances

Estimation of Litho-Fluid Facies Distribution from Zero-Offset Acoustic and Shear Impedances

Reservoir characterization and density–velocity analysis using rock physics and integrated multi‐types post‐stack inversion to identify hydrocarbon possibility and litho‐prediction of Mishrif formation in the Kumaite and Dhafriyah oil fields, Southern Iraq

Selection of Sensitive Post-Stack and Pre-Stack Seismic Inversion Attributes for Improved Characterization of Thin Gas-Bearing Sands

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