Md Mahmodul Islam

ORCID: 0009-0007-8923-942X
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About
Contact & Profiles
Research Areas
  • Drilling and Well Engineering
  • Seismic Imaging and Inversion Techniques
  • Hydraulic Fracturing and Reservoir Analysis
  • Image Enhancement Techniques
  • Advanced Image Processing Techniques
  • Advanced Vision and Imaging
  • Virtual Reality Applications and Impacts
  • Seismology and Earthquake Studies

Universiti Teknologi Petronas
2023

Chittagong University of Engineering & Technology
2023

Old Dominion University
2010

The application of metaverse technology in the field civil engineering has potential to improve project efficiency and accuracy. Nevertheless, pervasive adoption effective integration metaverses are contingent on a number crucial factors. This study investigates critical factors underlying successful implementation within business context. research employs comprehensive mixed-method approach comprised exploratory factor analysis (EFA) structural equation modelling (SEM) examine survey...

10.1155/2023/8824795 article EN cc-by Journal of Engineering 2023-09-29

Sonic wave transit times are the major logs for estimating pertinent geomechanical parameters including overburden stress, pore pressure, effective and unconfined compressible strength among others. These contain much important information about subsurface formation. However, in most oil gas exploration wells, these not usually acquired all wells which can be attributed to high cost involved logging. The application of data-driven ML model has rarely been used compressional shear sonic (DTP...

10.1016/j.rineng.2023.101528 article EN cc-by Results in Engineering 2023-11-07

Fault detection is an important step in subsurface interpretation and reservoir characterization from 3D seismic images. Due to the numerous complex fault structures images, manual time-consuming requires intensive work. We applied a pre-trained CNN model predict faults volume of Poseidon field Browse Basin, Australia. This highly structured with normal faulting throughout targeted Plover Formations. Our motivation for this work compare machine-learning-based prediction user-interpreted...

10.3390/app132011300 article EN cc-by Applied Sciences 2023-10-14

Fault detection is an important step for subsurface interpretation and reservoir characterization from 3D seismic images. Due to the numerous complicated faulting structures of images, manual time taking need intensive work. To overcome this problem, geoscientists are coming up with productive computer-aided techniques assisting in interpreter science many years. However, paper, we used a pre-trained CNN model predict faults volume Poseidon field Browse Basin, Australia. Basically, highly...

10.20944/preprints202307.0949.v1 preprint EN 2023-07-14

Super-resolution enhancement is the technique of increasing spatial resolution an image from itself or several noisy images same scene but with additional information such as motion. This paper presents a kernel regression approach to reconstruct high low video frames. In many applications including cell phone and webcam imaging sensors capture due cost physical limitation hardware. So, proposed could be used inexpensive software alternative. The performance algorithm evaluated grayscale...

10.1109/icce.2010.5418782 article EN 2010-01-01
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