[HTML][HTML] Machine learning prediction of permeability distribution in the X field Malay Basin using elastic properties
Accurate estimation of porosity and permeability distribution is vital for reservoir
characterization, particularly challenging in areas with limited well data. This study …
characterization, particularly challenging in areas with limited well data. This study …
Application of Artificial Intelligence Methods for Predicting Water Saturation from New Seismic Attributes.
Accurate determination of water saturation is fundamental for predicting the amount of
hydrocarbon fluid in reservoir, apart from monitoring fluid saturation changes whithin the …
hydrocarbon fluid in reservoir, apart from monitoring fluid saturation changes whithin the …
Discriminating lithology and pore fill in hydrocarbon prediction from seismic elastic inversion using absorption attributes
Separation of lithology from pore fill remains a daunting task, even if using elastic inversion.
This is one of the unsolved problems for hydrocarbon prediction in Malaysian basins …
This is one of the unsolved problems for hydrocarbon prediction in Malaysian basins …
A study of combined low salinity foam injection using dlvo theory and surface complexation modeling
The proposed study of combined low salinity foam Injection using DLVO-theory (ie,
Derjaguin, Landau, Verwey, and Overbeek) and surface complexation modeling or SCM, is …
Derjaguin, Landau, Verwey, and Overbeek) and surface complexation modeling or SCM, is …
[HTML][HTML] Reservoir characterisation of high-pressure, high-temperature zone of malay basin using seismic inversion and artificial neural network approach
G Yazmyradova, NNAANM Hassan, NF Salleh… - Applied Sciences, 2021 - mdpi.com
The growing demand for hydrocarbons has driven the exploration of riskier prospects in
depths, pressures, and temperatures. Substantial volumes of hydrocarbons lie within deep …
depths, pressures, and temperatures. Substantial volumes of hydrocarbons lie within deep …
Quantitative reservoir characterization of tight sandstone using extended elastic impedance
R Jiang, C Liu, J Zhang, Q Zeng, P He, J Huang… - Natural Resources …, 2021 - Springer
Quantitative inversion of reservoir properties plays a crucial role in the efficient development
of tight sandstone reservoirs. Based on the theories of statistical rock physics and extended …
of tight sandstone reservoirs. Based on the theories of statistical rock physics and extended …
New avo attributes and their applications for facies and hydrocarbon prediction: A case study from the northern malay basin
Featured Application This article demonstrates SQp and SQs methods as the new AVO
attributes that sensitive to determine facies and fluid analysis. Abstract Amplitude versus …
attributes that sensitive to determine facies and fluid analysis. Abstract Amplitude versus …
Well-log based rock physics template of the Vienna Basin and the underlying Calcereous Alps
N Tucovic, N Gegenhuber - Acta Geophysica, 2017 - Springer
In this study, the ratio of compressional and shear wave velocity versus acoustic impedance
as rock physics template for northern part of the Vienna Basin has been derived for …
as rock physics template for northern part of the Vienna Basin has been derived for …
Geological reservoir modeling and seismic reservoir monitoring
AA Babasafari, DP Ghosh, T Ratnam… - … and Applications for …, 2022 - books.google.com
5.2 Static reservoir modeling 5.2. 1 Preliminary reservoir analysis 5.2. 2 Structural modeling
5.2. 3 Rock and fluid property modeling 5.3 Reserve estimation and uncertainty analysis 5.4 …
5.2. 3 Rock and fluid property modeling 5.3 Reserve estimation and uncertainty analysis 5.4 …
Pay zone determination using enhanced workflow and neural network
Featured Application This article demonstrates the use of a type of unsupervised learning
named self-organizing maps to delineate hydrocarbons. Abstract Amplitude versus offset …
named self-organizing maps to delineate hydrocarbons. Abstract Amplitude versus offset …