DHI evaluation by combining rock physics simulation and statistical techniques for fluid identification of Cambrian-to-Cretaceous clastic reservoirs in Pakistan

Ahmed, Nisar; Khalid, Perveiz; Shafi, Hafiz Muhammad Bilal; Connolly, Patrick

doi:10.1007/s11600-017-0070-5

Cited by 10 publications

(2 citation statements)

References 26 publications

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“…3 AVA anisotropy spreadsheet for HTI media Fig. 4 AVA anisotropy spreadsheet for orthorhombic media linearized approximations are used to compute the reflection coefficients as a function of incident angles which further play a central role in the amplitude versus offset/angle analysis (Ahmed et al 2017;Ahmad et al 2019). The present study provides a comprehensive insight and understanding of the equations are used to compute the reflection amplitudes at a geological interface in an anisotropic media which is more frequently ignored during the conventional AVO modeling.…”

Section: Discussionmentioning

confidence: 99%

AVA-anisotropy: spreadsheets program to model the variation of P-wave reflectivity with angle in VTI, HTI, and orthorhombic media

et al. 2021

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Spreadsheet-based programming has become a worldwide computational tool and a powerful platform for executing scientific calculations in different engineering disciplines. The inherent advantage of spreadsheets exists in integrated storage and the ability to manipulate matrices along with wide-ranging mathematical calculations, plotting, and diagrammatic presentation. This paper presents a user-friendly and interactive spreadsheet program "AVA-anisotropy" to characterize the primary P-wave amplitude versus incident angle (AVA) responses in vertically transverse isotropic (VTI), horizontally transverse isotropic (HTI), and orthorhombic media. The set of Rüger's equations for isotropic, VTI, HTI, and orthorhombic media are solved to describe the seismic energy partitioning at an anisotropic interface. The spreadsheet program has three main sections: basic concepts, data input, and AVA modeling for anisotropic media. The interactive data input and on-screen mathematical and graphic presentation of the spreadsheet enables the students to have an in-depth examination of the effects of changing input data and the resulting model. This greatly helps them in understanding the energy partitioning in anisotropic medium.

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Section: Discussionmentioning

confidence: 99%

AVA-anisotropy: spreadsheets program to model the variation of P-wave reflectivity with angle in VTI, HTI, and orthorhombic media

et al. 2021

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“…The water saturation (S w ) measurements taken in open hole with resistivity logging are fundamental to quantify hydrocarbon saturation (S h ), original oil in place (OOIP) or original gas in place (OGIP) volumes. In reservoir parameters estimation, the exact determination of S w with accuracy is very challenging because there are a number of factors that can affect the values of S w (Tiab and Donaldson, 2004;Ahmed et al, 2017). Several independent methods that can be used to estimate S w can lead to somewhat changed S w values that may liken to considerable differences in OOIP or OGIP volumes.…”

Section: Peterophysical Parameters Measurementsmentioning

confidence: 99%

Estimation of reservoir properties from well logs and core plugs to reduce uncertainty in formation evaluation: a case study from the Kohat-Potwar Geologic Province

Khalid¹,

Ahmed²,

Din³

et al. 2018

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Formation evaluation and rock physics are powerful techniques to link the physical properties of rocks and pore fluids measured at boreholes with petrophysical, elastic, and seismic properties at boreholes or faraway from boreholes. However, several sources of uncertainty in the measurements of these properties can affect the strength of this link. A complete statistical workflow is proposed for obtaining petrophysical properties such as porosity, permeability, volume of shale, and water saturation at the well location. This workflow is based on the wireline logs and core plugs and is applied on the lower Jurassic siliciclastic reservoirs of Kohat-Potwar Geologic Province, Pakistan to determine its applicability, the advantages of the new integrated approach, and the value of uncertainty analysis. The linear regression relations are developed between several petrophysically derived parameters measured from core samples and calculated from well logs data. All these parameters are then used as input constraints in rock physics modeling to calculate seismic properties such as bulk and shear moduli, compressional and shear wave velocities etc. A linear relationship is established between porosity and seismic velocities obtained from rock physics model. The well logs predicted rock physics properties such as seismic (P and S-wave) velocities, effective densities and elastic moduli are in close agreement to those measured by using rock physics analysis. Statistical regression analysis revealed significant similarity in the porosity values obtained from geophysical well logs and core samples. The permeability of reservoir intervals show fairly strong linear relationship with the porosity, indicating that the reservoir interval of Datta sandstone is highly permeable and porous thus having large potential of hydrocarbon accumulation and production.

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Rock Physics-Based Pore-Filling and Seismic Amplitude Modeling of Barail Sandstone from Assam Geologic Province, India

2022

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DHI evaluation by combining rock physics simulation and statistical techniques for fluid identification of Cambrian-to-Cretaceous clastic reservoirs in Pakistan

Cited by 10 publications

References 26 publications

AVA-anisotropy: spreadsheets program to model the variation of P-wave reflectivity with angle in VTI, HTI, and orthorhombic media

AVA-anisotropy: spreadsheets program to model the variation of P-wave reflectivity with angle in VTI, HTI, and orthorhombic media

Estimation of reservoir properties from well logs and core plugs to reduce uncertainty in formation evaluation: a case study from the Kohat-Potwar Geologic Province

Rock Physics-Based Pore-Filling and Seismic Amplitude Modeling of Barail Sandstone from Assam Geologic Province, India

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