DR. MUHAMMAD RAIEES AMJAD
| PERSONAL INFORMATION | |||
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| mraiees.buic@bahria.edu.pk | |||
| Phone. Ext. | 3115 | ||
| Research Area | Petroleum Geosciences, Pore Pressure Prediction, Reservoir and Source Rock Evaluation, Hydrogeology | ||
| Number of Publications | 0 | ||
| QUALIFICATION | |||
| DEGREE | PASSING YEAR | MAJORS | UNIVERSITY |
| MS | 2011 | Geophysics | Bahria University Islamabad |
| PhD | 2023 | Geology | Bahria University Islamabad |
| TEACHING EXPERIENCE | |||
| DESIGNATION | FROM | TO | ORGANIZATION |
| Cluster Head Geophysics | 01-Jan-2016 | 01-Feb-2021 | Bahria University Islamabad |
| Postgraduate Program Coordinator | 01-Jun-2025 | Present | Bahria University Islamabad, Pakistan |
| Associate Professor | 01-Jan-2012 | Present | Bahria University Islamabad, Pakistan |
Publications
Journals & Conferences
- 2D Seismic Interpretation and Well Log Analysis of Missakaswal Area, Upper Indus Basin, Pakistan | Bahria University Research Journal of Earth Sciences (BURJES)
- Assessment of aquifer intrinsic vulnerability using GIS based DRASTIC model in Sialkot area, Pakistan | International Journal of Economic and Environmental Geology
- Petrophysical and Geochemical Analysis of Chichali Formation for the Source Rock Evaluation: A case study of Chanda-01 well, Upper Indus Basin, Pakistan | International Journal of Economic and Environmental Geology
- Hydrocarbon Evaluation and New Well Prognosis Based on Seismic and Petrophysical Analysis of Ghauspur Area, Central Indus Basin, Pakistan. | The Nucleus
- Demarcation of Groundwater Potential Zones by Electrical Resistivity Survey (ERS) Islamabad, Pakistan | International Journal of Economic and Environmental Geology
- Structural Style and Hydrocarbon Potential Evaluation of Badin Block, Lower Indus Basin, Pakistan | Bahria University Research Journal of Earth Sciences (BURJES)
- Structural Delineation and Hydrocarbon Potential Evaluation of Lockhart Limestone in Basal Area, Upper Indus Basin, Pakistan | The Nucleus
- Prospect Generation Studies of Cretaceous Sands, Khipro Area by Integrating Seismic and Well Data | The Nucleus
- Improved gas sand facies classification and enhanced reservoir description based on calibrated rock physics modelling: A case study | Open Geosciences
- Exploring the untapped gas potential of Ghazij shale in Pirkoh area, Pakistan. Integrated approach of attribute analysis and maturity modeling | TURKISH JOURNAL OF EARTH SCIENCES
- Overpressures Induced by Compaction Disequilibrium Within Structural Compartments of Murree Formation, Eastern Potwar, Pakistan | Frontiers in Earth Science
- Carbonate Reservoir Quality Variations in Basins with a Variable Sediment Influx: A Case Study from the Balkassar Oil Field, Potwar, Pakistan | ACS Omega
- Precise Geopressure Predictions in Active Foreland Basins: An Application of Deep Feedforward Neural Networks | Journal of Asian Earth Sciences
- Sembar Formation as an Unconventional Prospect: New Insights in Evaluating Shale Gas Potential Combined with Deep Learning | Natural Resources Research
- Structural inheritance through 3D reservoir modeling and ant-tracking attribute implications for structural configuration of Upper Cretaceous Pab Sandstone, Kirthar Fold Belt, Pakistan. | Journal of Natural Gas Geoscience
- Data-driven exploration in complex basins: A critical aspect of new prospect delineation in thin sands using simultaneous seismic inversion. | Journal of Earth System Science
- Petroleum Reservoir Potential of Cretaceous Siliciclastic Rocks of Tando Allahyar Field, Lower Indus Basin, Pakistan: Inferences from Petrophysics, Sequence Stratigraphy and Paleogeography | Doklady Earth Sciences
- Lithofacies and sandstone reservoir characterization for geothermal assessment through artificial intelligence | Results in Engineering
- Diagenetic heterogeneities in the Jurassic Samana Suk Formation, Foreland Sedimentary Fold and Thrust Belt, Pakistan: an integrated approach for reservoir behavior | Carbonates and Evaporites
- Machine Learning Models for Subsurface Pressure Prediction: A Data Mining Approach | Computers
- Integrating Conventional and machine learning approaches with seismic inversion for optimized porosity estimation in heterogeneous siliciclastic rocks | Physics and Chemistry of the Earth Parts A B C
- Evidence of transtensional deformation associated with neotectonics: Insights into the velocity structure and source mechanism of Nanga Parbat syntaxis, northwestern Himalayas | Earthquake Science
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