[HTML][HTML] Boundaries determination in potential field anomaly utilizing analytical signal filtering and its vertical derivative in Qeshm Island SE Iran

SA Hosseini, NKF Khah, P Kianoush, P Afzal… - Results in Geophysical …, 2023 - Elsevier
The analytical signal method and its derivatives can be explicitly calculated and assessed
for analyzing and estimating the boundary of geological structures, such as faults or dikes …

[HTML][HTML] Physical properties of sandstone reservoirs: Implication for fluid mobility

RM Abraham-A, F Taioli, AI Nzekwu - Energy Geoscience, 2022 - Elsevier
Core samples representing depths of hydrocarbon-bearing zones are not readily accessible
for reservoir evaluations. On the other hand, wireline logs with incorporated seismic data …

[HTML][HTML] Tilt angle filter effect on noise cancelation and structural edges detection in hydrocarbon sources in a gravitational potential field

SA Hosseini, NKF Khah, P Kianoush, Y Arjmand… - Results in Geophysical …, 2023 - Elsevier
Noise cancelation is the process done to remove out-of-range anomalies and make better
edge boundaries interpretation. One of the most challenging issues in describing …

Employing Statistical Algorithms and Clustering Techniques to Assess Lithological Facies for Identifying Optimal Reservoir Rocks: A Case Study of the Mansouri …

SH Eftekhari, M Memariani, Z Maleki, M Aleali… - Minerals, 2024 - mdpi.com
The crucial parameters influencing drilling operations, reservoir production behavior, and
well completion are lithology and reservoir rock. This study identified optimal reservoir rocks …

Integration of 3-D Seismic and Well Log Data for Structural Interpretation and Hydrocarbon Reserve Estimation in the “Becky” Field, Onshore Niger Delta Basin …

EA Ndip, NB Teghen, AE Djieto Lordon - Journal of Petroleum Science …, 2023 - jpst.ripi.ir
Accurately, estimating hydrocarbon reserves in a field is essential to determine its economic
potential. Therefore, it is crucial to conduct structural interpretation of 3-D seismic data to …

[PDF][PDF] The Effects of Tilt Angle Filter on Noise Cancelation and Structural Edges Detection in Gas and Oil Source in Gravitational Potential Field of Qeshm Island SE …

SA Hosseini, N Keshavarz Farajkhah… - Available at SSRN …, 2022 - papers.ssrn.com
One of the most challenging issues in describing gravitational maps is separating the
anomalies related to shallow sources from the deep ones. Furthermore, Existing lots of …

New Constraints of Reservoir Quality of Arab Formation (Surmeh) in one of the Oil Fields, Persian Gulf, South Iran.

B Soleimani, M Azad - Petroleum & Coal, 2023 - search.ebscohost.com
The study of petrophysical parameters plays a major role in the evaluation of hydrocarbon
reservoirs. In this study, using well data in Geolog software, the petrophysical parameters of …

Hydraulic flow unit and rock types of the Asmari Formation in the Mansouri oilfield, an application of the Flow zone index and Fuzzy C-means clustering methods

SH Eftekhari, M Memariani, Z Maleki, M Aleali… - 2023 - researchsquare.com
Rock types are the reservoir's most essential properties for special facies modeling in a
defined range of porosity and permeability. This study used the fuzzy c-means clustering …

Compressibility Analysis and Geomechanical Characterization for CO2 Sequestration and Storage for Advancement of Health and Environment Protection: A Case of ' …

BT Ojo, N Idowu-Anifowoshe - Asian Journal of Geological …, 2023 - papers.ssrn.com
CO2 sequestration and storage are parts of the approaches to mitigate the effect of global
warming through the reduction and stabilization of CO2 emitted in the atmosphere. In the …

[PDF][PDF] Integration of the hydraulic flow unit and the Fuzzy C-means clustering methods to determine the petrophysical rock types in the Asmari Formation, SW Iran

SH Eftekhari, M Memariani, Z Maleki, M Aleali… - researchgate.net
Rock types are the reservoir's most essential properties and show special facies with a
defined range of porosity and permeability. This study used the fuzzy c-means clustering …