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An ensemble transfer learning strategy for production prediction of shale gas wells
W Niu, Y Sun, X Zhang, J Lu, H Liu, Q Li, Y Mu - Energy, 2023 - Elsevier
In order to overcome the training data insufficient problem of model for shale gas wells
production prediction in new block, this study proposes a transfer learning strategy of …
production prediction in new block, this study proposes a transfer learning strategy of …
Machine learning-informed ensemble framework for evaluating shale gas production potential: Case study in the Marcellus Shale
D Vikara, D Remson, V Khanna - Journal of Natural Gas Science and …, 2020 - Elsevier
Artificial intelligence and machine learning (ML) are being applied to many oil and gas
(O&G) applications and seen as novel techniques that may facilitate efficiency gains in …
(O&G) applications and seen as novel techniques that may facilitate efficiency gains in …
Evolution of Frac plug technologies–Cast iron to composites to dissolvable
Z Walton, M Fripp, J Porter, G Vargus - SPE Middle East Oil and Gas …, 2019 - onepetro.org
A technological revolution in hydraulic fracturing has occurred between early wellbore
stimulation techniques and present day stimulation that has reduced cost and increased …
stimulation techniques and present day stimulation that has reduced cost and increased …
Physics-guided data-driven production forecasting in shales
W Saputra - 2021 - repository.kaust.edu.sa
In the early 21st century, oil and gas production in the US was conjectured to be in terminal-
irreversible decline. But, thanks to the advancement of hydraulic fracturing technologies over …
irreversible decline. But, thanks to the advancement of hydraulic fracturing technologies over …
Gas to Wire Or Gas to Shore: Evaluation of Transitional Clean Energy in Offshore UKCS
L Mistry, F Wahid, P Fitch - SPE Annual Technical Conference and …, 2020 - onepetro.org
Gas to Wire (GTW) is a concept which will aid the UK to meet their growing energy demand
as, GTW will allow marginal and somewhat depleted gas fields to convert natural gas to …
as, GTW will allow marginal and somewhat depleted gas fields to convert natural gas to …
Constraining faults and stratigraphic zones in shale and tight oil basins via 3D geocellular models
R Dommisse - Geoenergy Science and Engineering, 2024 - Elsevier
The validity of regional and basin-wide geomodels for unconventional and tight-oil plays
depends on the accuracy and precision of the available structural and stratigraphic …
depends on the accuracy and precision of the available structural and stratigraphic …
Geologic Variability and Well Productivity in US Oil Plays: The Efficiency of Completion Intensity and New Designs in Various Geologic Contexts
In 2018 the US became the largest oil and natural gas producer in the world. Whether this
production can be sustained by technologic improvements or requires more intensive …
production can be sustained by technologic improvements or requires more intensive …
Evaluating the liquids potential and distribution of West Virginia's Marcellus liquids fairway
C Smith, S Pool, P Dinterman, J Moore… - … Conference, 26–28 …, 2021 - library.seg.org
The distribution of liquid hydrocarbon (HC) resources in the Marcellus Formation throughout
West Virginia (WV) is a matter of economic importance for the State of West Virginia and …
West Virginia (WV) is a matter of economic importance for the State of West Virginia and …
Using production data to constrain resource volumes and recovery efficiency in the Marcellus play of West Virginia
R Boswell, BJ Carney, S Pool - SPE Annual Technical Conference and …, 2020 - onepetro.org
Recovery efficiency (RE) is a poorly constrained parameter with respect to unconventional
resource development. However, the increasing volume and quality of data related to …
resource development. However, the increasing volume and quality of data related to …
[HTML][HTML] Investment choices and production dynamics: The role of price expectations, financial deficit, and production constraints
We propose a model that helps answer two questions:(1) what motivates firms to invest in
novel technologies, often characterized by low (or negative) returns, forgoing high …
novel technologies, often characterized by low (or negative) returns, forgoing high …