Követés
Aqsa Anees
Aqsa Anees
School of Ecology and Environmental Science, Yunnan University I Guest Editor: Frontiers in Energy
E-mail megerősítve itt: ynu.edu.cn - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
Classification of reservoir facies using well log and 3D seismic attributes for prospect evaluation and field development: A case study of Sawan gas field, Pakistan
U Ashraf, P Zhu, Q Yasin, A Anees, M Imraz, HN Mangi, S Shakeel
Journal of Petroleum Science and Engineering 175, 338-351, 2019
1352019
A Core Logging, Machine Learning and Geostatistical Modeling Interactive Approach for Subsurface Imaging of Lenticular Geobodies in a Clastic Depositional System, SE Pakistan
U Ashraf, H Zhang, A Anees, HN Mangi, M Ali, X Zhang, M Imraz, ...
Natural Resources Research 30 (3), 2807-2830, 2021
1052021
Controls on reservoir heterogeneity of a shallow-marine reservoir in Sawan gas field, SE Pakistan: Implications for reservoir quality prediction using acoustic impedance inversion
U Ashraf, H Zhang, A Anees, M Ali, X Zhang, S Shakeel Abbasi, ...
Water 12 (11), 2972, 2020
822020
Application of unconventional seismic attributes and unsupervised machine learning for the identification of fault and fracture network
U Ashraf, H Zhang, A Anees, H Nasir Mangi, M Ali, Z Ullah, X Zhang
Applied Sciences 10 (11), 3864, 2020
812020
Channel identification using 3D seismic attributes and well logging in lower Shihezi Formation of Hangjinqi area, northern Ordos Basin, China
A Anees, W Shi, U Ashraf, Q Xu
Journal of Applied Geophysics 163, 139-150, 2019
642019
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 Ahraf, R Wang, K Liu, HN Mangi, R Jiang, X Zhang, ...
Front. Earth Sci 9, 1375, 2022
392022
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, Z Ullah, X Zhang, ...
Minerals 12 (2), 126, 2022
382022
Evaluation of the geothermal parameters to decipher the thermal structure of the upper crust of the Longmenshan fault zone derived from borehole data
J Ullah, M Luo, U Ashraf, H Pan, A Anees, D Li, M Ali, J Ali
Geothermics 98, 102268, 2022
382022
Application of Machine Learning for Lithofacies Prediction and Cluster Analysis Approach to Identify Rock Type
M Hussain, S Liu, U Ashraf, M Ali, W Hussain, N Ali, A Anees
Energies 15 (12), 4501, 2022
352022
Sweet spots prediction through fracture genesis using multi-scale geological and geophysical data in the karst reservoirs of Cambrian Longwangmiao Carbonate Formation, Moxi …
R Jiang, L Zhao, A Xu, U Ashraf, J Yin, H Song, N Su, B Du, A Anees
Journal of Petroleum Exploration and Production Technology 12 (5), 1313-1328, 2022
322022
Reservoir quality prediction of gas-bearing carbonate sediments in the Qadirpur Field: insights from advanced machine learning approaches of SOM and cluster analysis
M Rashid, M Luo, U Ashraf, W Hussain, N Ali, N Rahman, S Hussain, ...
Minerals 13 (1), 29, 2022
312022
The ungrind and grinded effects on the pore geometry and adsorption mechanism of the coal particles
HN Mangi, R Chi, Y DeTian, L Sindhu, D He, U Ashraf, H Fu, L Zixuan, ...
Journal of Natural Gas Science and Engineering 100, 104463, 2022
302022
Analysis of balkassar area using velocity modeling and interpolation to affirm seismic interpretation, upper indus basin
U Ashraf, P Zhu, A Anees, A Abbas, A Talib
Geosciences 6 (3), 78-91, 2016
302016
Integrated seismic interpretation, 2D modeling along with petrophysical and seismic attribute analysis to decipher the hydrocarbon potential of Missakeswal area
A Abbas, H Zhu, A Anees, U Ashraf, N Akhtar
Pakistan. J. Geol. Geophys 7 (2), 1-12, 2019
292019
Development of a computer program for zoeppritz energy partition equations and their various approximations to affirm presence of hydrocarbon in missakeswal area
A Anees, SW Zhong, U Ashraf, A Abbas
Geosciences 7 (2), 55-67, 2017
252017
Sand-ratio distribution in an unconventional tight sandstone reservoir of Hangjinqi area, Ordos Basin: Acoustic impedance inversion-based reservoir quality prediction
A Anees, H Zhang, U Ashraf, R Wang, HV Thanh, AE Radwan, J Ullah, ...
Frontiers in Earth Science 10, 1018105, 2022
242022
Hydrocarbon Potential Assessment of Carbonate-Bearing Sediments in a Meyal Oil Field, Pakistan: Insights from Logging Data Using Machine Learning and Quanti Elan Modeling
J Ali, U Ashraf, A Anees, S Peng, MU Umar, H Vo Thanh, U Khan, ...
ACS omega 7 (43), 39375-39395, 2022
232022
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, A Anees, M Rashid, ...
Geosystems and Geoenvironment 1 (3), 100058, 2022
212022
Estimation of porosity and facies distribution through seismic inversion in an unconventional tight sandstone reservoir of Hangjinqi area, Ordos basin
U Ashraf, A Anees, W Shi, R Wang, M Ali, R Jiang, H Vo Thanh, I Iqbal, ...
Frontiers in Earth Science 10, 1014052, 2022
172022
Classification of reservoir quality using unsupervised machine learning and cluster analysis: Example from Kadanwari gas field, SE Pakistan
N Ali, J Chen, X Fu, W Hussain, M Ali, SM Iqbal, A Anees, M Hussain, ...
Geosystems and Geoenvironment, 100123, 2022
172022
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