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Keywords: coefficient
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Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, October 26–29, 2020
Paper Number: SPE-204262-STU
... of latent variables (features). The latent inputs were used to build regression models forprediction of friction losses and ISIP. The models' performance was evaluated on the following performance metrics: mean square error (MSE), root mean square error (RMSE), and coefficient of determination (R 2...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, October 26–29, 2020
Paper Number: SPE-201269-MS
... study the phase behavior, and the number density profiles of different molecules are calculated. Then, based on the discussion of phase behavior, a series of equilibrium MDS runs are carried out to calculate the self-diffusion coefficients of CO 2 , n -decane, and all fluid molecules. For each MDS with...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, October 26–29, 2020
Paper Number: SPE-201307-MS
... well pattern successfully unlocked and maximized the marginal gas field. reservoir characterization tight gas asset and portfolio management complex reservoir upstream oil & gas directional drilling drilling operation storage coefficient ordos basin structural well hybrid well...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, October 26–29, 2020
Paper Number: SPE-201287-MS
... datapoints of acoustic parameters, models’ accuracy ratings were above 99%, R-squared values had high degrees of closeness to unity, mean absolute percentage error (MAPE) values were at less than 10% and coefficient of variation (COV) at less than (1.0). UCS prediction models were all dependent on multiple...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, October 26–29, 2020
Paper Number: SPE-201325-MS
... modal frequencies of the grid connectivity represented by the grid Laplacian. The projection of the heterogeneous property field along these basis functions gives the basis coefficients that form the reduced order representation. Subsequently, for each training datapoint, streamlines are traced and the...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, October 26–29, 2020
Paper Number: SPE-201328-MS
... components. The transform can be repeatedly applied to obtain a multiresolution analysis of the signal. Such repeated application of the wavelet transform yields the signal detail coefficients at each decomposition level, where each level represents a band of frequency. Using this approach, the pressure and...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, October 26–29, 2020
Paper Number: SPE-201419-MS
... been implemented for the first time in the industry. reservoir characterization reservoir simulation enhanced recovery flow in porous media drillstem/well testing drillstem testing fluid dynamics startup pressure gradient mud invasion stress sensitivity coefficient permeability...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, October 26–29, 2020
Paper Number: SPE-201379-MS
... algorithm that was successfully applied in previous work – to optimize the coefficients of the logistic equation that guides the well's bottom-hole pressure along the time horizon. In IDLHC-ML, we used a set of simulation runs from the first iteration to train the initial ML models. From the second...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, October 26–29, 2020
Paper Number: SPE-201597-MS
... testing wavelet transform pressure response modwt coefficient coefficient high noise dataset robustness dataset flow-rate data long-term pressure data analysis permanent downhole gauge modwt noise decomposition Long-term data from Permanent Downhole Gauges (PDGs) have become more...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, October 26–29, 2020
Paper Number: SPE-201653-MS
... significantly influence gas production. An important parameter controlling the rate of gas release is the diffusion coefficient of gas diffusing into organic matter which appears in the flow equations. One of the methods of estimating the diffusion coefficient is based on analysis of gas uptake into shale...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, October 26–29, 2020
Paper Number: SPE-201650-MS
... control reservoir geomechanics flow in porous media reservoir simulation modeling & simulation drillstem testing reserves evaluation drillstem/well testing depletion simulation model coefficient fine migration ipdm reduction completion installation and operations wellbore design fluid...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, October 26–29, 2020
Paper Number: SPE-201545-MS
... dataset drill bit coefficient axial acceleration detail coefficient deep learning classification architecture wellbore seismic fourier transform acceleration signal information decomposition equation spectrogram representation dataset An engineered completion increases production...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, October 26–29, 2020
Paper Number: SPE-201568-MS
... enhanced recovery sagd upstream oil & gas flow rate coefficient emulsion quality permeability sandpack Oil sands, as a strategic energy resource to the world petroleum market, have been found worldwide, including Venezuela, the United States, Russia and Canada ( Alboudwarej et al. 2006...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, October 26–29, 2020
Paper Number: SPE-201404-MS
... upstream oil & gas machine learning reservoir surveillance drillstem testing calculation production data algorithm derivative calculation rate function application regression bayesian method coefficient pressure transient analysis data quality production forecasting drillstem/well...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, October 26–29, 2020
Paper Number: SPE-204262-STU
.... The models' performance was evaluated on the following performance metrics: mean square error (MSE), root mean square error (RMSE), and coefficient of determination (R 2 ). Data normalization aims to bring the entire distribution of adjusted values into alignment. The main goal is to create a...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, September 30–October 2, 2019
Paper Number: SPE-195889-MS
... this study, discrete wavelet transformation (DWT) was used to analyze real field injection and fall-off data in the wavelet domain. The analyzed data are from multi-stage hydraulic fracturing operations and DFIT in unconventional horizontal wells. DWT coefficients reveal very crucial information...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, September 30–October 2, 2019
Paper Number: SPE-195804-MS
... Artificial Intelligence correlation Tariq abdulraheem prediction predict water saturation saturation Mahmoud neural function carbonate rock society of petroleum engineers estimation saturation model fn model gamma ray coefficient reservoir equation In 1942 Archie developed an...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, September 30–October 2, 2019
Paper Number: SPE-195909-MS
... Reservoir Characterization hydraulic fracturing osmosis chemical osmosis imbibition enhanced recovery complex reservoir Brine experiment shale gas Upstream Oil & Gas salinity brine coefficient core plug equation oil shale matrix Oil Recovery shale reservoir porous disk osmotic...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, September 30–October 2, 2019
Paper Number: SPE-195853-MS
... = A * PcB + C) is used to fit each capillary pressure curve. Then, a robust relationship between the fitting coefficients (A, B, C) and rock properties (i.e. porosity and permeability) is expressed as a nonlinear function for each DRT. Combined with the height above free water level, a water...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, September 30–October 2, 2019
Paper Number: SPE-195798-MS
... of fracture stages. Use of Random Forests machine learning algorithm on the dataset confirms that the total proppant placed, well length completed with fractures have high importance coefficients. In order to examine the well performance using full physical models, fractured well simulations were...

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