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Underground Hydrogen Storage in Porous Media: The Potential Role of Petrophysics

Petrophysics
The objective of this study is to showcase the key geological and reservoir engineering parameters that influence underground hydrogen storage, demonstrate the value of some petrophysical data, and show how hydrogen storage differs between depleted gas ...
E. Okoroafor, L. Sekar, Henry Galvis
semanticscholar   +1 more source

THE BENEFITS AND DANGERS OF USING ARTIFICIAL INTELLIGENCE IN PETROPHYSICS

SPWLA 61st Annual Online Symposium Transactions, 2020
Artificial Intelligence, or AI, is a method of data analysis that learns from data, identify patterns and makes predictions with the minimal human intervention. AI is bringing many benefits to petrophysical evaluation.
S. Cuddy
semanticscholar   +1 more source

Quantitative interpretation in petrophysics: Unlocking hydrocarbon potential through theoretical approaches

International Journal of Scholarly Research and Reviews
Quantitative interpretation in petrophysics is an essential component in the exploration and development of hydrocarbon reservoirs. This paper delves into the theoretical foundations of petrophysical properties, such as porosity, permeability, and fluid ...
Henry Oziegbe Iriogbe   +2 more
semanticscholar   +1 more source

Leveraging digital rock physics workflows in unconventional petrophysics: A review of opportunities, challenges, and benchmarking

, 2020
Digital rock physics (DRP), via both direct numerical simulation and pore-network modeling, holds great promise in terms of probing such pore-scale controls on transport, particularly with multiphase flow and sensitivity analysis of time-intensive ...
A. Mehmani   +2 more
semanticscholar   +1 more source

When Petrophysics Meets Big Data: What can Machine Do?

Day 4 Thu, March 21, 2019, 2019
Petrophysics is a pivotal discipline that bridges engineering and geosciences for reservoir characterization and development. New sensor technologies have enabled real-time streaming of large-volume, multi-scale, and high-dimensional petrophysical data
Chicheng Xu   +3 more
semanticscholar   +1 more source

An experimental study for carbonate reservoirs on the impact of CO2-EOR on petrophysics and oil recovery

Fuel, 2019
The injection of CO2 into deep geological structures for the purpose of CO2 storage and/or enhanced oil recovery (CO2-EOR) may trigger a series of consecutive chemical reactions (e.g. mineral dissolution and asphaltene precipitation) and physical effects
Mohamed Khather   +3 more
semanticscholar   +1 more source

Petrophysics and mineral exploration: a workflow for data analysis and a new interpretation framework

Geophysical Prospecting, 2019
As mineral exploration seeks deeper targets, there will be a greater reliance on geophysical data and a better understanding of the geological meaning of the responses will be required, and this must be achieved with less geological control from drilling.
M. Dentith   +4 more
semanticscholar   +1 more source

An Integrated Deep Learning Solution for Petrophysics, Pore Pressure, and Geomechanics Property Prediction

Proceedings of the 7th Unconventional Resources Technology Conference, 2019
In unconventional plays, wells are drilled at an unprecedented rate. This, together with technical challenges in terms of complex stratigraphy, multiple play types, variable rock properties, and various elements of pore pressure, geomechanics, fracturing,
E. Naeini   +3 more
semanticscholar   +1 more source

A Big Data Study: Correlations Between EUR and Petrophysics/Engineering/Production Parameters in Shale Formations by Data Regression and Interpolation Analysis

Day 2 Wed, February 06, 2019, 2019
Shale hydrocarbon production has become an increasingly important part of global oil and gas supply during the past decade. The life of projects in unconventional plays, such as shale oil and gas, tight oil and gas, coal bed methane etc., heavily ...
Yu Liang, Lulu Liao, Ye Guo
semanticscholar   +1 more source

Petrophysical Seismic Inversion

SEG Technical Program Expanded Abstracts 2005, 2005
As part of a two years collaborative RD the geomodels are not simply conditioned to seismic attributes by seismic-guided mapping but reproduce prestack seismic measurements (Bornard et al., 2005). A key component of the inversion methodology is a Petro-Elastic Model (PEM) that links the reservoir properties stored in the geomodel (e.g., porosity, rock ...
Thierry Coléou   +4 more
openaire   +1 more source

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