Prediction of compressional, shear, and stoneley wave velocities from conventional well log data using a committee machine with intelligent systems
M Asoodeh, P Bagheripour - Rock mechanics and rock engineering, 2012 - Springer
Measurement of compressional, shear, and Stoneley wave velocities, carried out by dipole
sonic imager (DSI) logs, provides invaluable data in geophysical interpretation …
sonic imager (DSI) logs, provides invaluable data in geophysical interpretation …
An artificial intelligence approach in estimation of formation pore pressure by critical drilling data
M Rashidi, A Asadi - ARMA US Rock Mechanics/Geomechanics …, 2018 - onepetro.org
In this study, an artificial neural networks (ANN) model as an artificial intelligence (AI)
technique is proposed to determine the formation pore pressure from data of two critical …
technique is proposed to determine the formation pore pressure from data of two critical …
Short term memory efficient pore pressure prediction via Bayesian neural networks at Bering Sea slope of IODP expedition 323
M Karmakar, S Maiti - Measurement, 2019 - Elsevier
Pore pressure (PP) study can provide insightful information about evolution history and/or
geological process taking place over a region. Conventional methods, mostly are of …
geological process taking place over a region. Conventional methods, mostly are of …
Statistical machine learning augmented interpretation of pore pressure of well 1344A located at slope setting of sites IODP 323
M Karmakar, S Maiti - Journal of Earth System Science, 2023 - Springer
Pore pressure (PP) prediction from the downhole response is challenging due to the
complex relationship between PP and the underlying variability of downhole response at …
complex relationship between PP and the underlying variability of downhole response at …
[HTML][HTML] A machine learning approach for the prediction of pore pressure using well log data of Hikurangi Tuaheni Zone of IODP Expedition 372, New Zealand
Pore pressure (PP) information plays an important role in analysing the geomechanical
properties of the reservoir and hydrocarbon field development. PP prediction is an essential …
properties of the reservoir and hydrocarbon field development. PP prediction is an essential …
Using Gene Expression Programming to estimate sonic log distributions based on the natural gamma ray and deep resistivity logs: A case study from the Anadarko …
C Cranganu, E Bautu - Journal of Petroleum Science and Engineering, 2010 - Elsevier
In the oil and gas industry, characterization of pore-fluid pressures and rock lithology, along
with estimation of porosity, permeability, fluid saturation and other physical properties is of …
with estimation of porosity, permeability, fluid saturation and other physical properties is of …
Real-time pore pressure prediction in depleted reservoirs using regression analysis and artificial neural networks
F Hadi, A Eckert, F Almahdawi - SPE Middle East Oil and Gas Show …, 2019 - onepetro.org
It is known that pore pressure (Pp) is an integral part for the well planning process. Pore
pressure can be directly measured from the wireline pressure and well tests, or indirectly …
pressure can be directly measured from the wireline pressure and well tests, or indirectly …
Using support vector regression to estimate sonic log distributions: a case study from the Anadarko Basin, Oklahoma
C Cranganu, M Breaban - Journal of Petroleum Science and Engineering, 2013 - Elsevier
In petroleum industry, the compressional acoustic or sonic log (DT) is commonly used as a
predictor because its capabilities respond to changes in porosity or compaction which, in …
predictor because its capabilities respond to changes in porosity or compaction which, in …
A novel and generalized approach in the inversion of geoelectrical resistivity data using Artificial Neural Networks (ANN)
AS Raj, Y Srinivas, DH Oliver, D Muthuraj - Journal of Earth System …, 2014 - Springer
The non-linear apparent resistivity problem in the subsurface study of the earth takes into
account the model parameters in terms of resistivity and thickness of individual subsurface …
account the model parameters in terms of resistivity and thickness of individual subsurface …
Determination of dew point pressure in gas condensate reservoirs based on a hybrid neural genetic algorithm
Knowing dew point pressure considers as one of the preliminary requirements in retrograde
gas condensate reservoir simulations. When the pressure declines below the dew point …
gas condensate reservoir simulations. When the pressure declines below the dew point …