A review of modern approaches of digitalization in oil and gas industry

S Al-Rbeawi - Upstream Oil and Gas Technology, 2023 - Elsevier
This paper introduces a review of the modern approaches of digitalization in the oil and gas
industry. The objective is understanding the current applications of the traditional …

A Comprehensive review of data-driven approaches for forecasting production from unconventional reservoirs: best practices and future directions

H Rahmanifard, I Gates - Artificial Intelligence Review, 2024 - Springer
Prediction of well production from unconventional reservoirs is a complex problem given an
incomplete understanding of physics despite large amounts of data. Recently, Data …

[HTML][HTML] Geology and geomechanics of hydraulic fracturing in the Marcellus shale gas play and their potential applications to the Fuling shale gas development

H Zheng, J Zhang, Y Qi - Energy Geoscience, 2020 - Elsevier
Geological characteristics, geomechanical behavior and hydraulic fracture propagation
mechanism in the Marcellus shale gas play are analyzed and compared with China's Fuling …

Data-driven model for hydraulic fracturing design optimization: Focus on building digital database and production forecast

AD Morozov, DO Popkov, VM Duplyakov… - Journal of Petroleum …, 2020 - Elsevier
Growing amount of hydraulic fracturing (HF) jobs in the recent two decades resulted in a
significant amount of measured data available for development of predictive models via …

AI/ML assisted shale gas production performance evaluation

FI Syed, T Muther, AK Dahaghi, S Negahban - Journal of Petroleum …, 2021 - Springer
Shale gas reservoirs are contributing a major role in overall hydrocarbon production,
especially in the United States, and due to the intense development of such reservoirs, it is a …

Technological progress and prospects of reservoir stimulation

LEI Qun, G Baoshan, CAI Bo, W **n, XU Yun… - Petroleum Exploration …, 2019 - Elsevier
Through reviewing the development history of reservoir hydraulic fracturing technology, this
paper demonstrated the latest research progress at home and abroad and summarized six …

Application of nature-inspired algorithms and artificial neural network in waterflooding well control optimization

CSW Ng, A Jahanbani Ghahfarokhi… - Journal of Petroleum …, 2021 - Springer
With the aid of machine learning method, namely artificial neural networks, we established
data-driven proxy models that could be utilized to maximize the net present value of a …

[HTML][HTML] A review of the application of data-driven technology in shale gas production evaluation

W Niu, J Lu, Y Sun, H Liu, X Cao, H Zhan, J Zhang - Energy Reports, 2023 - Elsevier
Shale gas, as an important unconventional natural gas resource, is the main force to
increase natural gas reserves and production in the future. For shale gas with huge …

[HTML][HTML] Comparative study on supervised learning models for productivity forecasting of shale reservoirs based on a data-driven approach

D Han, J Jung, S Kwon - Applied Sciences, 2020 - mdpi.com
Due to the rapid development of shale gas, a system has been established that can utilize a
considerable amount of data using the database system. As a result, many studies using …

Production optimization using machine learning in Bakken shale

G Luo, Y Tian, M Bychina… - … , Houston, Texas, 23-25 …, 2018 - library.seg.org
Researchers from both industry and academia have studied the tight oil resources
intensively in the past decade since the successfully development of Bakken Shale and …