Application of deep learning on well-test interpretation for identifying pressure behavior and characterizing reservoirs

P Dong, Z Chen, X Liao, W Yu - Journal of Petroleum Science and …, 2022 - Elsevier
Pressure transient well test analysis is an important tool for identifying reservoir
characteristics. However, the reliability of the results from well test analysis could be …

[HTML][HTML] A deep reinforcement learning (DRL) based approach for well-testing interpretation to evaluate reservoir parameters

P Dong, ZM Chen, XW Liao, W Yu - Petroleum Science, 2022 - Elsevier
Parameter inversions in oil/gas reservoirs based on well test interpretations are of great
significance in oil/gas industry. Automatic well test interpretations based on artificial …

An enhanced scatter search with combined opposition-based learning for parameter estimation in large-scale kinetic models of biochemical systems

MA Remli, S Deris, MS Mohamad, S Omatu… - … Applications of Artificial …, 2017 - Elsevier
An enhanced scatter search (eSS) with combined opposition-based learning algorithm is
proposed to solve large-scale parameter estimation in kinetic models of biochemical …

Stochastic optimization of hydraulic fracture and horizontal well parameters in shale gas reservoirs

MH Rammay, AA Awotunde - Journal of Natural Gas Science and …, 2016 - Elsevier
Multistage hydraulic fracturing is one of the most important techniques in the successful
exploitation and development of shale gas reservoirs. Most unconventional reservoirs rely …

An intelligent data-driven model for Dean–Stark water saturation prediction in carbonate rocks

Z Tariq, M Mahmoud, A Abdulraheem - Neural Computing and …, 2020 - Springer
Carbonate rocks have a very complex pore system due to the presence of interparticle and
intraparticle porosities. This makes the acquisition and analysis of the petrophysical data …

Time and frequency domain simulation, measurement and optimization of log-periodic antennas

KK Mistry, PI Lazaridis, ZD Zaharis… - Wireless Personal …, 2019 - Springer
Log-periodic antenna is a special antenna type utilized with great success in many
broadband applications due to its ability to achieve nearly constant gain over a wide …

Fluid Flow Behavior Prediction in Naturally Fractured Reservoirs Using Machine Learning Models

MM Shawkat, ARB Risal, NJ Mahdi, Z Safari… - …, 2023 - Wiley Online Library
The naturally fractured reservoirs are one of the most challenging due to the tectonic
movements that are caused to increase the permeability and conductivity of the fractures …

Generalized field-development optimization with well-control zonation

AA Awotunde - Computational Geosciences, 2016 - Springer
Of concern in the development of oil fields is the problem of determining the optimal
locations of wells and the optimal controls to place on the wells. Extraction of hydrocarbon …

Self-adaptive differential evolution with a novel adaptation technique and its application to optimize ES-SAGD recovery process

TM Moussa, AA Awotunde - Computers & Chemical Engineering, 2018 - Elsevier
Differential evolution (DE) algorithm has shown good performance in many optimization
problems. However, its control parameters greatly affect its performance and require many …

Improvement of Levenberg-Marquardt algorithm during history fitting for reservoir simulation

X Zhang, AA Awotunde - Petroleum Exploration and Development, 2016 - Elsevier
In order to estimate reservoir parameters more effectively by history fitting, DE (Differential
Evolution) was proposed to estimate the optimum damping factor so that the standard …