Appraisal of reservoir porosity using a machine learning approach: A study from the Eocene‐Miocene interval of Upper Assam Basin, NE, India

Geometry and Kinematics of strike-slip faults in the Dibrugarh field of the Upper Assam foreland basin, NE India

(2023) Priyadarshi Chinmoy Kumar et al.   MARINE AND PETROLEUM GEOLOGY

Seismic inversion as a reliable technique to anticipating of porosity and facies delineation, a case study on Asmari Formation in Hendijan field, southwest part of Iran

(2022) Aziz Abdolahi et al.   Journal of Petroleum Exploration and Production Technology

Estimation of porosity and facies distribution through seismic inversion in an unconventional tight sandstone reservoir of Hangjinqi area, Ordos basin

(2022) Umar Ashraf et al.   Frontiers in Earth Science

GADAM based semi-supervised deep sequential convolution network for seismic impedance inversion: application and uncertainty analysis

(2022) Anjali Dixit et al.   GEOPHYSICS

Subsurface porosity estimation: a case study from the Krishna Godavari offshore basin, eastern Indian margin, India

(2021) Anju K. Joshi et al.   Journal of Natural Gas Science and Engineering

Porosity Prediction With Uncertainty Quantification From Multiple Seismic Attributes Using Random Forest

(2021) Caifeng Zou et al.   JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH

Optimization of key parameters for porosity measurement of shale gas reservoirs

(2021) Shangwen Zhou et al.   Natural Gas Industry B

Bayesian petroelastic inversion with multiple prior models

(2020) Dario Grana   GEOPHYSICS

An unsupervised deep-learning method for porosity estimation based on post-stack seismic data

(2020) Runhai Feng et al.   GEOPHYSICS

A New Ensemble Machine-Learning Framework for Searching Sweet Spots in Shale Reservoirs

(2020) Jizhou Tang et al.   SPE JOURNAL

Estimation of porosity and fluid saturation in carbonates from rock-physics templates based on seismic Q

(2019) Mengqiang Pang et al.   GEOPHYSICS

Machine learning regressors and their metrics to predict synthetic sonic and mechanical properties

(2019) Ishank Gupta et al.   Interpretation-A Journal of Subsurface Characterization

Smart Machining Process Using Machine Learning: A Review and Perspective on Machining Industry

(2018) Dong-Hyeon Kim et al.   International Journal of Precision Engineering and Manufacturing-Green Technology

Estimation of petrophysical parameters using seismic inversion and neural network modeling in Upper Assam basin, India

(2018) Triveni Gogoi et al.   Geoscience Frontiers

The linear random forest algorithm and its advantages in machine learning assisted logging regression modeling

(2018) Yile Ao et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Structural controls on topography and river morphodynamics in Upper Assam Valley, India

(2017) S. Borgohain et al.   GEODINAMICA ACTA

Geostatistical inversion of prestack seismic data for the joint estimation of facies and impedances using stochastic sampling from Gaussian mixture posterior distributions

(2017) Xiaozheng Lang et al.   GEOPHYSICS

Estimation of porosity from seismic attributes using a committee model with bat-inspired optimization algorithm

(2017) Amin Gholami et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Seismic inversion as a predictive tool for porosity and facies delineation in Paleocene fluvial/lacustrine reservoirs, Melut Basin, Sudan

(2017) M.I. Mahgoub et al.   MARINE AND PETROLEUM GEOLOGY

Porosity estimation from pre-stack seismic data in gas-hydrate bearing sediments, Krishna-Godavari basin, India

(2016) Rima Chatterjee et al.   Journal of Natural Gas Science and Engineering

Effective medium modeling: How to efficiently infer porosity from seismic data?

(2015) Mathilde Adelinet et al.   Interpretation-A Journal of Subsurface Characterization

Rock-physics modeling guided by depositional and burial history in low-to-intermediate-porosity sandstones

(2014) Per Avseth et al.   GEOPHYSICS

Use seismic colored inversion and power law committee machine based on imperial competitive algorithm for improving porosity prediction in a heterogeneous reservoir

(2014) Hamid Reza Ansari   JOURNAL OF APPLIED GEOPHYSICS

Artificial Neural Networks applied to estimate permeability, porosity and intrinsic attenuation using seismic attributes and well-log data

(2014) Ursula Iturrarán-Viveros et al.   JOURNAL OF APPLIED GEOPHYSICS

Geological mapping using remote sensing data: A comparison of five machine learning algorithms, their response to variations in the spatial distribution of training data and the use of explicit spatial information

(2013) Matthew J. Cracknell et al.   COMPUTERS & GEOSCIENCES

Inverse rock physics modeling for reservoir quality prediction

(2013) Tor Arne Johansen et al.   GEOPHYSICS

Porosity prediction using the group method of data handling

(2011) Nasher M. AlBinHassan et al.   GEOPHYSICS

Porosity prediction from seismic attributes of the Ordovician Trenton-Black River groups, Rochester field, southern Ontario

(2010) O. C. Ogiesoba   AAPG BULLETIN

Probabilistic petrophysical-properties estimation integrating statistical rock physics with seismic inversion

(2010) Dario Grana et al.   GEOPHYSICS

Petrophysical seismic inversion conditioned to well-log data: Methods and application to a gas reservoir

(2009) Miguel Bosch et al.   GEOPHYSICS

Depositional history, processes and mechanism of early Miocene sediments of Upper Assam Basin

(2009) M. Sahoo et al.   JOURNAL OF THE GEOLOGICAL SOCIETY OF INDIA

A FUZZY LOGIC APPROACH TO ESTIMATING HYDRAULIC FLOW UNITS FROM WELL LOG DATA: A CASE STUDY FROM THEAHWAZOILFIELD, SOUTH IRAN

(2008) A. Kadkhodaie-Ilkhchi et al.   JOURNAL OF PETROLEUM GEOLOGY