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Keywords: information
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Journal Articles
Journal: SPE Journal
SPE J. (2022)
Paper Number: SPE-212859-PA
Published: 30 November 2022
... remediation reservoir compartmentalization asphaltene inhibition reservoir hydrate inhibition gradient spectroscopy threshold compartmentalization matrix variation characteristic hydrate remediation reservoir characterization bangestan reservoir ftir spectra information fingerprint fraction...
Journal Articles
Journal: SPE Journal
SPE J. (2022)
Paper Number: SPE-210290-PA
Published: 07 November 2022
.... Then, using a “risk burndown” approach based around an initial assessment of probability of success (POS), different paths to deployment (PTDs) are developed. A value of information (VOI) approach is used to evaluate key metrics. This leads to a diverse set of derisking options with associated trade-offs...
Journal Articles
Journal: SPE Journal
SPE J. 27 (05): 2820–2840.
Paper Number: SPE-203997-PA
Published: 12 October 2022
... aspects of data assimilation workflows: (i) low-rank representation of complex reservoir property distributions for geologically consistent feature-based model updating, and (ii) efficient prediction of the statistical information that are required for model updating. The proposed method uses deep...
Journal Articles
Journal: SPE Journal
SPE J. 27 (05): 2668–2688.
Paper Number: SPE-209191-PA
Published: 12 October 2022
... of choice, especially when adjoint models are available to provide the required gradient information in a computationally efficient manner. The use of local search optimization techniques implies that the surrogate models should be locally accurate and adapted to the optimization path that is traversed...
Journal Articles
Journal: SPE Journal
SPE J. (2022)
Paper Number: SPE-210084-PA
Published: 21 September 2022
...Konstantin Bulychenkov Summary The traditional multistation analysis (MSA) method for drilling string magnetization compensation considers significantly limited information, only consisting of a single measurement while drilling (MWD) six-axis survey run. The limitations of this approach...
Includes: Supplementary Content
Journal Articles
Journal: SPE Journal
SPE J. (2022)
Paper Number: SPE-212290-PA
Published: 12 September 2022
... setups for multiple timesteps are elaborated to avoid unfair assessment caused by mixing different prediction confidences over several days. In this framework, BiGRU is in charge of capturing nonlinear patterns of production variation by utilizing both forward and backward sequence information. MTL...
Includes: Supplementary Content
Journal Articles
Journal: SPE Journal
SPE J. 27 (04): 2425–2442.
Paper Number: SPE-209594-PA
Published: 11 August 2022
... architecture trajectory information well property transfer learning formulation locality prediction historical production data multiple flow regime unconventional reservoir timestep We first define the problem formulation, the input and output of the formulation, and introduce relevant...
Journal Articles
Journal: SPE Journal
SPE J. 27 (04): 1895–1904.
Paper Number: SPE-209615-PA
Published: 11 August 2022
... in limestone reservoirs. artificial intelligence waterflooding enhanced recovery complex reservoir flow in porous media fluid dynamics information iglauer injection pressure narrow throat fluid distribution gas injection method carbonate reservoir pore cluster size distribution capillary...
Includes: Supplementary Content
Journal Articles
Journal: SPE Journal
SPE J. 27 (04): 2443–2452.
Paper Number: SPE-209607-PA
Published: 11 August 2022
... has explored the structural information of waterflooding on a well pattern. To address this challenge, this paper proposes cooperation-mission neural networks for interwell connectivity with graph information. Specifically, we propose some assumptions based on the petroleum domain to represent...
Journal Articles
Journal: SPE Journal
SPE J. 27 (03): 1815–1830.
Paper Number: SPE-209223-PA
Published: 16 June 2022
... forward and inverse problems. The network uses fast Fourier transform (FFT) to extract PDE information in Fourier space to approximate differential operators, making the network faster and with greater physics significance. The model is mesh-independent and has good generalization, which also shows...
Journal Articles
Journal: SPE Journal
SPE J. 27 (03): 1729–1743.
Paper Number: SPE-209222-PA
Published: 16 June 2022
... chaos expansion input parameter coal measure cgp june 2022 inflow performance information training data production level sensitivity analysis fluid dynamics variance well parameter production data reservoir simulation gp model gas production variation prediction input variable pce...
Journal Articles
Journal: SPE Journal
SPE J. (2022)
Paper Number: SPE-209831-PA
Published: 27 May 2022
... ) and support vector regression ( Guo and Reynolds 2018 ). Copyright © 2022 Society of Petroleum Engineers machine learning artificial intelligence reservoir surveillance production monitoring reservoir simulation prediction performance oil production upstream oil & gas information spe...
Includes: Supplementary Content
Journal Articles
Journal: SPE Journal
SPE J. (2022)
Paper Number: SPE-210559-PA
Published: 20 May 2022
... physics information simulator deep learning discrepancy nn model prediction loss function artificial intelligence hydraulic fracturing upstream oil & gas unknown physics unconventional reservoir architecture spe journal simulation error experiment production response There has...
Journal Articles
Journal: SPE Journal
SPE J. 27 (02): 1287–1303.
Paper Number: SPE-209206-PA
Published: 13 April 2022
... the corresponding characteristics of the randomness of the formation pressure prediction results in the Eaton equation for their respective variables, a formation pressure inversion method based on multisource information, such as predrilling data, bottomhole while drilling data, seabed measured data, and surface...
Journal Articles
Journal: SPE Journal
SPE J. 27 (02): 1304–1320.
Paper Number: SPE-206525-PA
Published: 13 April 2022
...Anton Gryzlov; Sergey Safonov; Muhammad Arsalan Summary Monitoring of production rates is essential for reservoir management, history matching, and production optimization. Traditionally, such information is provided by multiphase flowmeters or test separators. The growth of the availability...
Journal Articles
Journal: SPE Journal
SPE J. 26 (06): 4067–4088.
Paper Number: SPE-205498-PA
Published: 15 December 2021
... solutions, are first used to demonstrate the functionality and effectiveness of ℓ 1 -norm regularization for interwell connectivity identification. The workflow is then applied to a real field waterflooding example in Long Beach to predict oil production and to infer interwell connectivity information...
Journal Articles
Journal: SPE Journal
SPE J. 26 (06): 3609–3625.
Paper Number: SPE-205213-PA
Published: 15 December 2021
... fraction of the revenue risk comes from geological uncertainty, and for this reason, subsurface teams are frequently responsible for optimizing campaign parameters such as the number of wells, the corresponding locations, and the drilling sequence. Companies use the information and learning from drilled...
Journal Articles
Journal: SPE Journal
SPE J. 26 (05): 2894–2913.
Paper Number: SPE-204057-PA
Published: 13 October 2021
... of data. For these reasons, this data set may be particularly liable to overfitting. This may favor approaches based on feature engineering, where we apply our domain knowledge to extract a few pieces of essential information from the data instead of leaving the job of understanding the data to an ML...
Journal Articles
Journal: SPE Journal
SPE J. 26 (04): 1980–2001.
Paper Number: SPE-205374-PA
Published: 11 August 2021
... hydrate remediation hydrate inhibition scale inhibition remediation of hydrates artificial intelligence production chemistry information deep learning czbest midstream oil & gas lstm cell oil temperature wax inhibition neural network upstream oil & gas dimension particle pipeline...
Journal Articles
Journal: SPE Journal
SPE J. 26 (04): 1812–1823.
Paper Number: SPE-205479-PA
Published: 11 August 2021
... permeability water cut fracture august 2021 hydraulic fracturing effect hyperparameter fluid dynamics information algorithm target parameter ml model Moreover, researchers apply the first principles to build numerical models for HF propagation and initiation ( Kanin et al. 2020a , 2020 b...

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