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Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4054832-MS
... complex reservoir well logging log analysis reservoir surveillance geological subdiscipline matrix urtec advanced thermal-hydrodynamic modeling production control horizontal well flow profile assessment fracture production logging production monitoring figure liner coefficient moscow...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4033921-MS
... drillstem/well testing drillstem testing modeling & simulation reservoir geomechanics unconventional resource technology conference fracture regime pvt measurement production forecasting reservoir surveillance machine learning urtec coefficient wattenbarger assumption formulation seg...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4028108-MS
... for unconventional field development. geologist sedimentary rock drillstem/well testing geology artificial intelligence geological subdiscipline unconventional resource technology conference effectiveness coefficient multistage fracturing hydraulic fracturing reservoir characterization equation...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3854538-MS
... is the unknown perforation pressure drop, 7 = 2> 4 is perforation area, 7 is the stress shadow, while 7 is the discharge coefficient for jth perforation. The solution of the above equation (3) gives the perforation slurry flow rates 25, and also yields the distribution of the average wellbore velocity along...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3857308-MS
... compressibility pvt correlation coefficient undersaturation dataset unconventional reservoir anonymous isothermal compressibility viscosity single-operator dataset unconventional resource technology conference machine learning single-phase hc prediction blasingame URTeC: 3857308 PVT Correlations...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3852292-MS
... rather than using log inputs. Biot s coefficient was also derived from lab reported Biot s values, then multiplied through the volumetric minerology content. Microporosity found in unconventional reservoirs increases the surface area of porosity, validating the approach of using minerology driven Biot s...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3830016-MS
... concentration coefficient fracturing materials mary rose inhibitor imperative chemical partner nesdr spraberry URTeC: 3830016 Fracturing Fluid Chemistry and Job Placement Design Optimized for Formation Skin Damage Reduction Improves Well Performance: A Permian Midland Basin Case Study John Blevins...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3852637-MS
... fluid dynamics drillstem/well testing reserves evaluation argentina government upstream oil & gas drillstem testing complex reservoir asset and portfolio management production logging production control production monitoring equation coefficient normalization multi-regression...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3858897-MS
... the sparse vector of coefficients = 1, 2, , Figure 2: SINDy sparse regression to identify dominant and relevant terms in the dynamics (From Brunton et al. 2016) In this context, the vector is used to represent the coefficients that determine which terms in the regression library are active...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3862235-MS
... nucleation, the theoretical nucleation length is derived based on linear stability analysis (LSA) assuming a pre-existing crack. Such analyses consider various factors such as mechanical properties, friction coefficients, and normal stress. After the size of the slipping area reaches the nucleation length...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3867323-MS
... uniformity isip fracture dimension reservoir characterization perforation machine learning far-field diverter efficiency stimulation enhancing near-field connectivity technology conference information nearfield connectivity diverter nfci optimizing completion coefficient URTeC: 3867323...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3861274-MS
... clastic rock complex reservoir mudstone shale ga reservoir reservoir fracture conductivity productivity flowback modeling & simulation permeability equation upstream oil & gas fracture shale gas proppant particle diameter conference coefficient engineering annual technical...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 20–22, 2022
Paper Number: URTEC-3723147-MS
... correlation model coefficient formulation oil formation volume factor artificial intelligence upstream oil & gas saturation pressure database dataset URTeC: 3723147 Development Saturation Pressure Correlations for Reservoir Fluids from Unconventional Reservoirs Nelson Mejia-Martinez1 and Thomas...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 20–22, 2022
Paper Number: URTEC-3722944-MS
... to at least the base of the Wolfcamp formation. Data manipulation, analysis, and deployment were the three steps used for building the model. The Artificial Neural Network (ANN) predicted the reservoir pressures with high accuracy where the correlation coefficient, R, for the training, testing...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 20–22, 2022
Paper Number: URTEC-3723405-MS
... fractured wells. reservoir surveillance hydraulic fracturing production control production logging fluid dynamics dts trace production monitoring flow in porous media temperature change coefficient lateral depth dts data péclet number concept joule-thomson expansion cluster depth...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 20–22, 2022
Paper Number: URTEC-3722497-MS
... curve analysis is usually conducted to determine the parameters under the assumption of a constant leak-off coefficient. Due to the effects of reservoir pressure and natural fractuers, HF typically exhibits nonlinear leak-off behavior (i.e., PDL, pressure-dependent leak-off). Sufficient studies have...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 20–22, 2022
Paper Number: URTEC-3723680-MS
... prediction leads to good predictability with correlations coefficients higher than 0.75 for the test set. The sensitivity analysis of the parameters of the model on the cumulative production shows that volume of injection fluid, length of the lateral and the proppant concentration are among the most...

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