A core logging, machine learning and geostatistical modeling interactive approach for subsurface imaging of lenticular geobodies in a clastic depositional system, SE …
Facies models are essential tools for imaging subsurface geobodies and for reducing
exploration and development risks efficiently. The Lower Goru Formation is one of the …
exploration and development risks efficiently. The Lower Goru Formation is one of the …
Controls on reservoir heterogeneity of a shallow-marine reservoir in Sawan Gas Field, SE Pakistan: Implications for reservoir quality prediction using acoustic …
The precise characterization of reservoir parameters is vital for future development and
prospect evaluation of oil and gas fields. C-sand and B-sand intervals of the Lower Goru …
prospect evaluation of oil and gas fields. C-sand and B-sand intervals of the Lower Goru …
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
Abstract The Sawan Gas Field is one of the most promising gas fields of Middle Indus Basin
in Pakistan with a cumulative production of 850 BCF. In the reservoir interval, the thin shale …
in Pakistan with a cumulative production of 850 BCF. In the reservoir interval, the thin shale …
Role of depositional and diagenetic controls on reservoir quality of complex heterogenous tidal sandstone reservoirs: An example from the Lower Goru formation …
Abstract The Lower Goru Formation, one of the key hydrocarbon development targets in
Pakistan's Middle Indus Basin, offers a unique opportunity to investigate the role of …
Pakistan's Middle Indus Basin, offers a unique opportunity to investigate the role of …
Application of machine learning tool to predict the porosity of clastic depositional system, Indus Basin, Pakistan
Porosity is one of the key factors of a reservoir system that is typically distributed in a
spatially non-uniform and non-linear manner. Nevertheless, spatial distribution of porosity in …
spatially non-uniform and non-linear manner. Nevertheless, spatial distribution of porosity in …
Prediction of reservoir quality from log-core and seismic inversion analysis with an artificial neural network: A case study from the sawan gas field, Pakistan
This paper presents a novel approach that aims to predict better reservoir quality regions
from seismic inversion and spatial distribution of key reservoir properties from well logs. The …
from seismic inversion and spatial distribution of key reservoir properties from well logs. The …
Estimation of petrophysical parameters from seismic inversion by combining particle swarm optimization and multilayer linear calculator
In heterogeneous reservoir rocks, the accurate characterization of lithology and reservoir
parameters is significant to minimize drilling risks and to improve oil and gas recoveries. In …
parameters is significant to minimize drilling risks and to improve oil and gas recoveries. In …
Holistic and scientific perspectives of energy sector in Pakistan: Progression, challenges and opportunities
In the modern era of high-tech machines and advanced technologies, Pakistan yet fails to
mitigate its daunting energy crisis and power shortage of presently, which eventually affects …
mitigate its daunting energy crisis and power shortage of presently, which eventually affects …
Fused spectral-decomposition seismic attributes and forward seismic modelling to predict sand bodies in meandering fluvial reservoirs
D Yue, W Li, W Wang, G Hu, H Qiao, J Hu… - Marine and Petroleum …, 2019 - Elsevier
Understanding the hierarchical architectural elements of fluvial sand bodies is important for
planning their development strategy and to enhance oil recovery. Red-Green-Blue (RGB) …
planning their development strategy and to enhance oil recovery. Red-Green-Blue (RGB) …
Precise geopressure predictions in active foreland basins: An application of deep feedforward neural networks
Precise geopressure predictions in younger foreland basins of the world is a challenging
job. Well based pressure prediction gives only one-dimensional information about the …
job. Well based pressure prediction gives only one-dimensional information about the …