A comprehensive review of deterministic decline curve analysis for oil and gas reservoirs

T Yehia, MM Abdelhafiz, GM Hegazy… - Geoenergy Science and …, 2023 - Elsevier
Decline curve analysis (DCA) is widely used to estimate the ultimate recovery of oil and gas
reservoirs. Unlike numerical simulation, material balance, and advanced production …

Empirical methods of decline-curve analysis for shale gas reservoirs: Review, evaluation, and application

HB Liang, LH Zhang, YL Zhao, BN Zhang… - Journal of Natural Gas …, 2020 - Elsevier
Shale gas reservoirs are accessed using horizontal wells with fracturing technology. To
improve production, the bottom-hole pressure is usually controlled. However, predicting the …

Prediction of shale-gas production at Duvernay formation using deep-learning algorithm

K Lee, J Lim, D Yoon, H Jung - SPE Journal, 2019 - onepetro.org
Decline–curve analysis (DCA) is an easy and fast empirical regression method for predicting
future well production. However, applying DCA to shale–gas wells is limited by long …

Key theoretical and technical issues and countermeasures for effective development of Gulong shale oil, Daqing Oilfield, NE China

Y Shiyi, LEI Zhengdong, LI Junshi… - Petroleum Exploration …, 2023 - Elsevier
Aiming at the four issues of underground storage state, exploitation mechanism, crude oil
flow and efficient recovery, the key theoretical and technical issues and countermeasures for …

Application of gated recurrent unit (GRU) neural network for smart batch production prediction

X Li, X Ma, F Xiao, F Wang, S Zhang - Energies, 2020 - mdpi.com
Production prediction plays an important role in decision making, development planning,
and economic evaluation during the exploration and development period. However …

[HTML][HTML] A novel governing equation for shale gas production prediction via physics-informed neural networks

H Wang, M Wang, S Chen, G Hui, Y Pang - Expert Systems with …, 2024 - Elsevier
Shale gas has become increasingly important due to the high demand for energy worldwide.
Therefore, accurate and fast production forecasting is of paramount importance, and decline …

New methods of coalbed methane production analysis based on the generalized gamma distribution and field applications

X Zhang, Z Zheng, Q Feng, B Fan - Applied Energy, 2023 - Elsevier
Decline curve analysis is a simple and fast regression method of estimating recoverable
reserves and future performance, but it is challenged when applied to unconventional …

Probabilistic production forecasting and reserves estimation: Benchmarking Gaussian decline curve analysis against the traditional Arps method (Wolfcamp shale …

MA Pratama, O Al Qoroni, IK Rahmatullah… - Geoenergy Science and …, 2024 - Elsevier
This study provides novel insights into how a relatively new, Gaussian DCA method may be
used to forecast well rates and estimate resource volumes produced from unconventional …

Assessing the impact of future greenhouse gas emissions from natural gas production

DJG Crow, P Balcombe, N Brandon… - Science of the total …, 2019 - Elsevier
Greenhouse gases (GHGs) produced by the extraction of natural gas are an important
contributor to lifecycle emissions and account for a significant fraction of anthropogenic …

Assessing global long-term EROI of gas: A net-energy perspective on the energy transition

L Delannoy, PY Longaretti, DJ Murphy, E Prados - Energies, 2021 - mdpi.com
Natural gas is expected to play an important role in the coming low-carbon energy transition.
However, conventional gas resources are gradually being replaced by unconventional ones …