Reservoir quality prediction of gas-bearing carbonate sediments in the Qadirpur field: Insights from advanced machine learning approaches of SOM and cluster …

M Rashid, M Luo, U Ashraf, W Hussain, N Ali… - Minerals, 2022 - mdpi.com
The detailed reservoir characterization was examined for the Central Indus Basin (CIB),
Pakistan, across Qadirpur Field Eocene rock units. Various petrophysical parameters were …

A novel machine learning approach for detecting outliers, rebuilding well logs, and enhancing reservoir characterization

M Ali, P Zhu, M Huolin, H Pan, K Abbas… - Natural Resources …, 2023 - Springer
Irregular measurements may occur during the drilling process due to unconsolidated
formation resulting in poor signal recordings by the logging tool. This affects the quality of …

Identification of favorable zones of gas accumulation via fault distribution and sedimentary facies: Insights from Hangjinqi area, northern Ordos Basin

A Anees, H Zhang, U Ashraf, R Wang, K Liu… - Frontiers in Earth …, 2022 - frontiersin.org
The Hangjinqi area was explored for natural gas around 40 years ago, but the efficient
consideration in this area was started around a decade ago for pure gas exploration. Many …

Seismic driven reservoir classification using advanced machine learning algorithms: A case study from the lower Ranikot/Khadro sandstone gas reservoir, Kirthar fold …

U Manzoor, M Ehsan, AE Radwan, M Hussain… - Geoenergy Science and …, 2023 - Elsevier
Reservoir characterization of thin sand bed reservoirs has been a challenge for petroleum
explorers across the globe. In this study, we have studied the heterogeneous Paleocene …

Sedimentary facies controls for reservoir quality prediction of lower shihezi member-1 of the Hangjinqi area, Ordos Basin

A Anees, H Zhang, U Ashraf, R Wang, K Liu, A Abbas… - Minerals, 2022 - mdpi.com
The tight gas reserves in the Hangjinqi area are estimated at 700× 109 m3. Since the
exploration of the Hangjinqi, numerous wells are already drilled. However, the Hangjinqi …

Source rock geochemical assessment and estimation of TOC using well logs and geochemical data of Talhar Shale, Southern Indus Basin, Pakistan

H Khalil Khan, M Ehsan, A Ali, MA Amer… - Frontiers in Earth …, 2022 - frontiersin.org
Assessment of organic carbon content (TOC) by geophysical logs has been a challenging
task in the formation evaluation of shale gas. This research is conducted to estimate the …

Sweet spots prediction through fracture genesis using multi-scale geological and geophysical data in the karst reservoirs of Cambrian Longwangmiao Carbonate …

R Jiang, L Zhao, A Xu, U Ashraf, J Yin, H Song… - Journal of Petroleum …, 2022 - Springer
Fractures play a vital role in reservoir transformation, but the distribution of faults and
fractures is difficult to obtain by observing cores, which ultimately limits the effective …

Quantitative characterization of shallow marine sediments in tight gas fields of middle indus basin: a rational approach of multiple rock physics diagnostic models

M Ali, U Ashraf, P Zhu, H Ma, R Jiang, G Lei, J Ullah… - Processes, 2023 - mdpi.com
For the successful discovery and development of tight sand gas reserves, it is necessary to
locate sand with certain features. These features must largely include a significant …

Geocellular Modeling of the Cambrian to Eocene Multi-Reservoirs, Upper Indus Basin, Pakistan

M Ehsan, MAU Latif, A Ali, AE Radwan… - Natural Resources …, 2023 - Springer
Geocellular modeling has become extremely important, linking all petroleum disciplines,
and being widely used in simulation and production forecasting in complex basin studies. In …

Microfacies analysis of the Palaeocene Lockhart limestone on the eastern margin of the Upper Indus Basin (Pakistan): Implications for the depositional environment …

A Bilal, R Yang, HT Janjuhah, MS Mughal… - The Depositional …, 2023 - Wiley Online Library
A detailed sedimentological analysis of the Palaeocene Lockhart Limestone has been
conducted to evaluate the depositional environment, diagenetic processes and hydrocarbon …