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Keywords: correlation
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Journal Articles
SPE Reservoir Evaluation & Engineering (2021)
Paper Number: SPE-205502-PA
Published: 14 May 2021
...Hesham Mokhtar Ali; Mahmoud Abu El Ela; Ahmed El-Banbi Summary The nonparametric transformation is a data-driven technique, which can be used to estimate optimal correlations between a dependent variable (response) and a set of independent parameters (predictors). This study introduces a systematic...
Journal Articles
SPE Reservoir Evaluation & Engineering 24 (02): 367–389.
Paper Number: SPE-200462-PA
Published: 12 May 2021
... specific critical point within the constraints of the MCM definition. There are many analytical, numerical, correlational, and experimental methods available to estimate the minimum miscibility pressure (MMP) for MCM flow. The numerous available methods, some of which are quite inexpensive, have caused...
Journal Articles
SPE Reservoir Evaluation & Engineering (2021)
Paper Number: SPE-205022-PA
Published: 08 February 2021
... (FC) method, and time slice (TS) method. Moreover, we study the impact of a possible linear correlation (also linear C) between b and D i (comparable to field observations) on MC, FC, and TS type wells. We also study the effect of well count, and D min value, which is the 4th parameter introduced with...
Journal Articles
SPE Reservoir Evaluation & Engineering 23 (04): 1403–1419.
Paper Number: SPE-200421-PA
Published: 12 November 2020
... 2 7 2020 30 6 2020 23 9 2020 29 8 2020 12 11 2020 Copyright © 2020 Society of Petroleum Engineers upstream oil & gas correlation enhanced recovery fluid dynamics fine-grid simulation true residual oil saturation flow in porous media coarse-grid model...
Journal Articles
SPE Reservoir Evaluation & Engineering 23 (04): 1328–1342.
Paper Number: SPE-202486-PA
Published: 12 November 2020
... 21 8 2020 12 11 2020 Copyright © 2020 Society of Petroleum Engineers production control machine learning reservoir characterization well logging hydraulic fracturing production monitoring drilling operation geomechanical facies correlation artificial intelligence complex...
Journal Articles
SPE Reservoir Evaluation & Engineering 23 (04): 1420–1439.
Paper Number: SPE-201235-PA
Published: 12 November 2020
... well resolution but fail when interpolating those facies further away from the 1D domain, because of the lack of correlation between FUs and spatial data. Seismic data can be used to detect large‐scale FUs and assist the interpolation of small‐scale FUs in 3D reservoir volume, thus producing more...
Journal Articles
SPE Reservoir Evaluation & Engineering (2020)
Paper Number: SPE-200374-PA
Published: 19 October 2020
... upstream oil & gas correlation waterflooding seven-spot pattern fluid dynamics different mobility ratio geologic modeling enhanced recovery tracer test analysis seven-spot model sweepable pv permeability dynamic lorenz coefficient lorenz coefficient heterogeneity base dynamic lorenz...
Journal Articles
SPE Reservoir Evaluation & Engineering 23 (01): 132–142.
Paper Number: SPE-195673-PA
Published: 17 February 2020
...Ishank Gupta; Chandra Rai; Deepak Devegowda; Carl Sondergeld Summary In this study we analyze the production data from 2,755 horizontal wells in the Haynesville Shale. Correlations were generated to predict 4-, 5-, 6-, and 7-year cumulative production from initial, 6-, 12-, and 24-month production...
Journal Articles
SPE Reservoir Evaluation & Engineering 23 (01): 158–176.
Paper Number: SPE-195679-PA
Published: 17 February 2020
... uncertainty also describes the correlation between estimates of mineral‐weight fractions, indicating which pairs of minerals cannot be independently estimated. Our Bayesian model also addresses the uncertainty propagated from the estimated linear operator and thus captures a possible mismatch of the model...
Journal Articles
SPE Reservoir Evaluation & Engineering 23 (01): 230–246.
Paper Number: SPE-197065-PA
Published: 17 February 2020
... same saturation‐function correlations as assumed in the analytical solution. Then, more‐general correlations are assumed when generating the synthetic data. This is to test the robustness of the analytical solution in producing functions similar to the “true” ones. Finally, we perform a waterflooding...
Includes: Supplementary Content
Journal Articles
SPE Reservoir Evaluation & Engineering 22 (04): 1225–1239.
Paper Number: SPE-191400-PA
Published: 14 November 2019
...–organizing–map (SOM) algorithms are sensitive to outliers and did not effectively differentiate the input data into consistent clusters. A Gaussian–mixture model can differentiate the various formations, but the clusters do not have a strong correlation with the performance of the log–synthesis models...
Journal Articles
SPE Reservoir Evaluation & Engineering 22 (03): 941–951.
Paper Number: SPE-194492-PA
Published: 15 August 2019
... for the polymer flood. Building on an earlier formulation that describes whether a displacement is understable or overstable, we present a linear correlation to estimate this permeability contrast. The accuracy of the newly proposed formulation is demonstrated by reproducing and predicting the...
Journal Articles
SPE Reservoir Evaluation & Engineering 22 (04): 1562–1574.
Paper Number: SPE-197055-PA
Published: 31 May 2019
... by universal co–Kriging while considering the correlation between the four parameters in Duong's model, which also showed linear trends (the parameters showed dependency on the x and y spatial coordinates). Kriging gave us the optimal decline–curve coefficients at new locations (P50 curve), as well...
Journal Articles
SPE Reservoir Evaluation & Engineering 22 (03): 800–816.
Paper Number: SPE-195681-PA
Published: 27 May 2019
... Reservoir Characterization Artificial Intelligence complex reservoir machine learning hydraulic fracturing shale gas neural network Engineering total thickness correlation North Dakota saturation fracture pollastro Upstream Oil & Gas Thickness completion SPE Reservoir Evaluation...
Journal Articles
SPE Reservoir Evaluation & Engineering 22 (02): 565–576.
Paper Number: SPE-177613-PA
Published: 03 December 2018
... decisions. Correlations between composition and performance that were developed dependent on pilot‐scale production were essential to assure the performance of the larger‐scale production. Corefloods, used as the ultimate performance check, showed virtually identical performance for pilot‐scale prepared...
Journal Articles
SPE Reservoir Evaluation & Engineering 21 (04): 927–941.
Paper Number: SPE-191375-PA
Published: 15 November 2018
..., Society of Petroleum Engineers hydraulic fracturing fracture complexity ConocoPhillips Reservoir Characterization Engineering november 2018 Artificial Intelligence orientation correlation machine learning Upstream Oil & Gas natural fracture microseismic event interpretation fracture...
Journal Articles
SPE Reservoir Evaluation & Engineering 22 (03): 1030–1048.
Paper Number: SPE-187182-PA
Published: 05 October 2018
... in this research were correlated with three different viscosity models: a modified Arrhenius model, the power‐law model, and the Walther ( 1931 ) model. The viscosity data were well‐correlated with the modified Arrhenius model, but not with the original Arrhenius (log‐linear mixing) rule. The...
Journal Articles
SPE Reservoir Evaluation & Engineering 22 (02): 441–457.
Paper Number: SPE-191377-PA
Published: 17 September 2018
... at or near maximum values. Because the main purpose of hydraulic fracturing is to stimulate oil and gas production from the less‐permeable reservoir, we compared the relative production contributions/stage to the frequency of the occurrence of suspected LPLD events. We found a positive correlation...
Journal Articles
SPE Reservoir Evaluation & Engineering 22 (01): 173–189.
Paper Number: SPE-189972-PA
Published: 28 June 2018
... initial net confining stress, which is the main limitation of the models already available in the literature. It is our experience that, in many instances, laboratory tests are run at specific values of net confining stress that do not necessarily match the current stress of the reservoir. The correlation...
Journal Articles
SPE Reservoir Evaluation & Engineering 21 (02): 238–256.
Paper Number: SPE-185025-PA
Published: 14 May 2018
... geologic parameters were investigated to clarify which geologic parameters exercise dominant control on well-production rates. Previously, qualitative correlations for the Eagle Ford Shale were demonstrated among depth, thickness, total organic carbon (TOC), distribution of limestone beds, and average bed...

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