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 …
[HTML][HTML] Advancing reservoir evaluation: machine learning approaches for predicting porosity curves
Porosity assessment is a vital component for reservoir evaluation in the oil and gas sector,
and with technological advancement, reliance on conventional methods has decreased. In …
and with technological advancement, reliance on conventional methods has decreased. In …
Integration of knowledge-based seismic inversion and sedimentological investigations for heterogeneous reservoir
A Shahbazi, MS Monfared, V Thiruchelvam… - Journal of Asian Earth …, 2020 - Elsevier
Conventional geological modelling methods are not capable to provide precise and
comprehensive model of the subsurface structures, when dealing with insufficient data …
comprehensive model of the subsurface structures, when dealing with insufficient data …
Poro-acoustic impedance (PAI) as a new and robust seismic inversion attribute for porosity prediction and reservoir characterization
For the purpose of reservoir modelling, precise porosity estimation is vital as it directly
influences the storage capacity, fluid flow dynamics, and overall productivity of the reservoir …
influences the storage capacity, fluid flow dynamics, and overall productivity of the reservoir …
Evaluating the paleo-depositional environment of productive reservoir sand of Lower Goru Formation: an integrated stratigraphic and diagenetic study
The early Cretaceous sand intervals of Lower Goru Formation (LGF) are significant reservoir
for hydrocarbons and are situated in study area of Sawan gas field, Middle Indus Basin …
for hydrocarbons and are situated in study area of Sawan gas field, Middle Indus Basin …
Well log analysis and comparison of supervised machine learning algorithms for lithofacies identification in pab formation, lower indus basin
Abstract Machine learning uses higher-order statistical computation for model prediction by
combining statistics with advanced algorithms. These predictions can be used to infer the …
combining statistics with advanced algorithms. These predictions can be used to infer the …
Improving the 3D facies model with the seismic-derived log volumes: a case study from the Asmari Formation in the Hendijan Field, southwest Iran
A Abdolahi, A Chehrazi… - … of Geophysics and …, 2022 - academic.oup.com
Abstract The prolific Oligocene-Miocene Asmari Formation is the primary reservoir rock
hosting important hydrocarbon resources in Iran and consists of fluvial/deltaic siliciclastic …
hosting important hydrocarbon resources in Iran and consists of fluvial/deltaic siliciclastic …
[HTML][HTML] Integrated geophysical analysis of the Sembar Formation, Central Indus Basin, as an unconventional resource
The ever-increasing demand for new energy sources witnessed at present is leading to a
shortage of oil and gas resources throughout the world. At the same time, polluting energy …
shortage of oil and gas resources throughout the world. At the same time, polluting energy …
ANN-based multicomponent seismic data-driven prediction of gas-bearing distribution
It is conducive to obtain reservoir information by effectively using the sensitivity difference of
multicomponent data in them. However, it is very troublesome to find the relationship …
multicomponent data in them. However, it is very troublesome to find the relationship …
High-resolution time-frequency hilbert transform using sparsity-aware weighting function
Instantaneous complex attributes that rely on conventional Hilbert transformation are
normally susceptible to random noise and abrupt frequency variations in seismic signals …
normally susceptible to random noise and abrupt frequency variations in seismic signals …