.... neural network machine learning drilling operation artificial intelligence deep learning in-seam drilling engineering drill bit gamma ray correlation rop complex reservoir upstream oil & gas prediction rate of penetration formation type noncoal coal noncoal classification regression...

.... It is the belief of the authors that the application should work in any basin globally. When combined with an automated choke systems and artificial lift the APD application can be expanded to field wide optimization. artificial intelligence rate measurement error production history upstream oil & gas...

... estimates. We present the application to production data of tight-oil wells building an average predictive distribution for the estimated ultimate recovery (EUR). production forecasting artificial intelligence machine learning complex reservoir model uncertainty upstream oil & gas two-phase...

... performance well logging drilling operation pore pressure reservoir pressure fracture pressure physics-based model drilling data acquisition artificial intelligence wellbore design calculation mud weight brittleness lithology URTEC-208334-MS Optimising Drilling and Completions Performance...

... to the stress reorientation in a multi-layer shale reservoir. The results from the numerical studies provide more instructive suggestions on infill drilling of highly fractured reservoirs. artificial intelligence hydraulic-natural fracture intersection natural fracture density stress field upstream...

... and operation, and enhance the potential of shale reservoir development. shale gas net pressure index satisfy eq fracture propagation mode hydraulic fracturing pressure drop bottom net pressure artificial intelligence upstream oil & gas shale gas fracture network fracturing fracture network...

... depletion state well spacing machine learning upstream oil & gas value driver complex reservoir future development well solution space sector model resource density artificial intelligence decision framework model well spacing study ranking methodology section subsurface realisation...

..., artificial intelligence, phase equilibrium calculations, physics-constrained deep learning 2 URTEC-208310-MS Introduction Compositional modeling typically involves stability analysis to determine the stability of a fluid mixture in the single-phase state at a given pressure and temperature, after which phase...

... it was completed? How to quantify, separately, the contribution of completion and location to production? Can sweet spots be identified in an area using production data? Does completion effectiveness vary with location, or operator, or year? artificial intelligence machine learning benchmarking...

.... production control artificial intelligence production monitoring data mining complex reservoir upstream oil & gas production forecasting th nearest neighbor outlier minimum mae outlier detection algorithm synthetic field example reservoir surveillance production data management inlier...

..., scalable diagnostic solution for each completion stage within the horizontal well. Application of this methodology provides the fracture design engineer with new tools to optimize well performance using existing data. reservoir geomechanics reservoir characterization artificial intelligence...

... performance machine learning complex reservoir neural network inflow performance rbfn model forecasting absolute open flow potential prediction shale gas upstream oil & gas principal component artificial intelligence gas content matrix weiyuan reservoir aofp engineering factor reservoir...

... process parameter artificial intelligence upstream oil & gas pore structure shale gas engineering isotherm natural gas science uptake complex reservoir morphology shale sample adsorption micropore adsorption capacity clay mineral co 2 padmanabhan URTEC-208386-MS The Effective...

.... machine learning artificial intelligence chemical flooding methods enhanced recovery proppant regression np-co2 foam fracturing fluid ml algorithm hydraulic fracturing upstream oil & gas prediction fracturing materials neural network accuracy svr model shear rate experimental data...

... strategies. machine learning unconventional resource economics reservoir storage energy economics upstream oil & gas overlain complex reservoir cutoff artificial intelligence geologic production driver information wellbore deliverability thermal maturity well performance geologic...

... indicates that the proposed method provides a good reference for the rational production allocation and stable production of gas wells. artificial lift system reservoir surveillance upstream oil & gas machine learning artificial intelligence engineering production control production logging...

... East. flow in porous media reservoir characterization upstream oil & gas fluid dynamics machine learning oilfield microscopic pore structure low permeability carbonate reservoir interlayer application artificial intelligence thick layered reservoir carbonate reservoir...

... surveillance complex reservoir reserves evaluation us government upstream oil & gas proceedings decline curve analysis production forecasting clojure tight oil reserve forecast 3-segment decline curve analysis equation arp petroleum engineer artificial intelligence cobol tugan...

... to validate the history-matched ensemble. The results showed a good match of 12 months of the new production data, not used in history-matching. That highlights the robust prediction capabilities of the approach. coalbed methane localization area gas content artificial intelligence coal seam gas es...