A comprehensive review of seismic inversion based on neural networks

M Li, XS Yan, M Zhang - Earth Science Informatics, 2023 - Springer
Seismic inversion is one of the fundamental techniques for solving geophysics problems. To
obtain the elastic parameters or petrophysical parameters, it is necessary to establish a …

[HTML][HTML] Prediction of Cretaceous reservoir zone through petrophysical modeling: Insights from Kadanwari gas field, Middle Indus Basin

N Ali, J Chen, X Fu, W Hussain, M Ali, M Hussain… - Geosystems and …, 2022 - Elsevier
This study involved an interpretation of wire-line logs in assessing the hydrocarbon capacity
of the sandstone reservoir within the gas fields of Kadanwari, Sindh, Pakistan. Wire-line logs …

[HTML][HTML] Three-dimensional structural modeling (3D SM) and joint geophysical characterization (JGC) of hydrocarbon reservoir

B Zhang, Y Tong, J Du, S Hussain, Z Jiang, S Ali, I Ali… - Minerals, 2022 - mdpi.com
A complex structural geology generally leads to significant consequences for hydrocarbon
reservoir exploration. Despite many existing wells in the Kadanwari field, Middle Indus Basin …

Precise geopressure predictions in active foreland basins: An application of deep feedforward neural networks

MR Amjad, M Zafar, MB Malik, Z Naseer - Journal of Asian Earth Sciences, 2023 - Elsevier
Precise geopressure predictions in younger foreland basins of the world is a challenging
job. Well based pressure prediction gives only one-dimensional information about the …

[HTML][HTML] The application of the PNN algorithm to evaluate the petrophysical properties of the heterogeneous E-sand reservoirs, Lower Goru Formation, Pakistan

SA Ahmed, M Hussain, ZU Khan - Kuwait Journal of Science, 2023 - Elsevier
Abstract The Lower Goru Formation (LGF) has produced from E-sand in Kadanwari gas
field, composed of sand and shale. The estimation of reservoir properties, including porosity …

Homogenization of porous thin layers with internal stratification for the estimation of seismic reflection coefficients

E Sotelo, ND Barbosa, SG Solazzi… - Journal of …, 2023 - Wiley Online Library
Stratified thin layers often present a prominent mechanical contrast with regard to the
embedding background and, hence, are important targets for seismic reflection studies. An …

Three-dimensional structural modeling (3D SM) and joint geophysical characterization (JGC) of hydrocarbon reservoir: a case study of the Kadanwari field in Middle …

U Khan, J Du, S Hussain, Z Jiang, S Ali, I Ali, M Khan… - 2022 - researchsquare.com
Complex structural geology generally leads to significant consequences for hydrocarbon
reservoir exploration that needs a comprehensive methodology for complete …

Unlocking thin sand potential: a data-driven approach to reservoir characterization and pore pressure map**

M Ehsan, R Chen, U Manzoor, M Hussain… - … and Geophysics for Geo …, 2024 - Springer
The gradual decline of production of the major fields of the Indus Basin has influenced the
field pressure. Therefore, the prospects need to be assessed by the petro-elastic …

Estimating Total Organic Carbon (TOC) Content and Porosity of the Ranikot Formation in the Central Indus Basin, Pakistan, Using Seismic Inversion and Well Log …

M Ehsan, AM Zaheer, MUH Abbasi - Journal of GeoEnergy, 2024 - Wiley Online Library
An approach is proposed to improve modeling for shale gas reservoirs, integrating key
parameters such as total organic carbon (TOC) and porosity. Seismic inversion uses seismic …

PNN enhanced seismic inversion for porosity modeling and delineating the potential heterogeneous gas sands via comparative inversion analysis in the Lower Indus …

U Shakir, A Ali, M Hussain, AE Radwan… - Pure and Applied …, 2024 - Springer
Seismic inversion has been in use for the last two decades to measure inverted impedances
using an integrated data set approach. This research focuses on the application of multi …