An advanced prediction model of shale oil production profile based on source-reservoir assemblages and artificial neural networks
Y Liu, J Zeng, J Qiao, G Yang, W Cao - Applied Energy, 2023 - Elsevier
Over the past decade, hydrocarbon production from shale oil reservoirs has become
increasingly common, and successful shale oil exploration and development depends …
increasingly common, and successful shale oil exploration and development depends …
An integrated machine learning-based approach to identifying controlling factors of unconventional shale productivity
The controlling factors of unconventional shale productivity by comprehensive analysis of
mineralogy, petrophysics, geochemistry, and geomechanics have not been well understood …
mineralogy, petrophysics, geochemistry, and geomechanics have not been well understood …
Forecasting, sensitivity and economic analysis of hydrocarbon production from shale plays using artificial intelligence & data mining
S Esmaili, A Kalantari-Dahaghi… - SPE Canada …, 2012 - onepetro.org
Our understanding of the complexities of the flow mechanism in Shale plays has not kept up
with our industry's interest in these prolific and hydrocarbon rich formations. Furthermore …
with our industry's interest in these prolific and hydrocarbon rich formations. Furthermore …
An AI-based workflow for estimating shale barrier configurations from SAGD production histories
J Zheng, JY Leung, RP Sawatzky… - Neural Computing and …, 2019 - Springer
An artificial intelligence (AI)-based workflow is deployed to develop and test procedures for
estimating shale barrier configurations from SAGD production profiles. The data employed in …
estimating shale barrier configurations from SAGD production profiles. The data employed in …
Method and practice of deep favorable shale reservoirs prediction based on machine learning
B Cheng, XU Tianji, LUO Shiyi, C Tianjie… - Petroleum Exploration …, 2022 - Elsevier
A set of methods for predicting the favorable reservoir of deep shale gas based on machine
learning is proposed through research of parameter correlation feature analysis principle …
learning is proposed through research of parameter correlation feature analysis principle …
[HTML][HTML] Smart shale gas production performance analysis using machine learning applications
With the advancement of technology and innovation in the oil and gas industry, the
production of liquid and gaseous hydrocarbon from conventional and unconventional …
production of liquid and gaseous hydrocarbon from conventional and unconventional …
Integration of artificial intelligence and production data analysis for shale heterogeneity characterization in steam-assisted gravity-drainage reservoirs
Abstract Steam-Assisted Gravity Drainage (SAGD) recovery is strongly impacted by
distributions of heterogeneous shale barriers, which impede the vertical growth and lateral …
distributions of heterogeneous shale barriers, which impede the vertical growth and lateral …
[HTML][HTML] Intelligent prediction and integral analysis of shale oil and gas sweet spots
KR Qian, ZL He, XW Liu, YQ Chen - Petroleum Science, 2018 - Springer
Shale reservoirs are characterized by low porosity and strong anisotropy. Conventional
geophysical methods are far from perfect when it comes to the prediction of shale sweet spot …
geophysical methods are far from perfect when it comes to the prediction of shale sweet spot …
Machine learning-based production forecast for shale gas in unconventional reservoirs via integration of geological and operational factors
Hundreds of horizontal wells have been performed fracturing operations to exploit the
unconventional shale gas resources in the Duvernay Formation of Fox Creek, Alberta …
unconventional shale gas resources in the Duvernay Formation of Fox Creek, Alberta …
[HTML][HTML] Shale gas production evaluation framework based on data-driven models
YW He, ZY He, Y Tang, YJ Xu, JC Long… - Petroleum Science, 2023 - Elsevier
Increasing the production and utilization of shale gas is of great significance for building a
clean and low-carbon energy system. Sharp decline of gas production has been widely …
clean and low-carbon energy system. Sharp decline of gas production has been widely …