...). There may be multiple reasons for these observations: stress shadowing effects between and within fracture clusters, reservoir heterogeneity, near-wellbore effects, and others. proppant variable minimum horizontal stress modeling & simulation upstream oil & gas hydraulic fracturing...

.... complex reservoir upstream oil & gas modeling & simulation drilling operation drillstem testing pvt measurement information drawdown reduction case study choke back fracture stage md 0 percentage eur loss linear flow parameter directional drilling drillstem/well testing variation...

... algorithm forecasted daily production productivity matrix modeling & simulation complex reservoir drillstem/well testing proceedings feature space unconventional resource technology conference productivity driver pad-well basis analysis doi reservoir characterization production forecasting...

.... For the latter, a pressure drop equation has to be solved in order to relate well head and bottom hole pressures using surface production rates, fluid properties and tubular geometry. production monitoring modeling & simulation pvt measurement bottom hole pressure machine learning reservoir...

... learning us government upstream oil & gas production forecasting deep learning modeling & simulation neural network artificial intelligence complex reservoir physics-guided deep learning prediction field dataset application dataset equation pgdl model experiment physics-constrained...

... the statistical methods to be considered as the baseline for assessing the performance of the predictive models for production profiles in unconventional reservoirs. machine learning modeling & simulation flow in porous media data mining artificial intelligence complex reservoir fluid dynamics...

... reservoir geomechanics climate change coal bed methane reservoir characterization modeling & simulation subsurface storage complex reservoir matrix shrinkage reservoir pressure permeability change mannville coal coalbed methane upstream oil & gas sequestration co 2 injection...

.... As RGNet describes a reservoir with general reservoir parameters, the obtained results are physically interpretable and explainable. The advantage of low computational cost makes RGNet suited for fast-paced reservoir management of unconventional reservoirs. production forecasting modeling...

.... Compared to multiple field pilot tests needed, the integrated workflow in this work helps operators significantly reduce the time and financial cost to optimize completion design and can be easily adapted to other unconventional wells given their unique dataset. modeling & simulation completion...

... pressure drop continuity condition cross-section modeling & simulation fluid dynamics semi-analytical solution hydraulic fracture pressure field layered formation grid equation formulation segall stress change interface URTeC: 3705427 A Semi-analytical Solution of the Induced Stress...

... and lessons learnt of the efficient and effect development of these assets will be crucial. This paper highlights key aspects related to reservoir characterization and well performance that are key to transferring this knowledge. pressure transient analysis reservoir geomechanics modeling...

... the risk of wellbore damage from shear failure. Moreover, the safe mud-weight window can also vary drastically along the lateral landing changes caused by formation heterogeneity and uneven depletion from the hydraulic fracture network. artificial intelligence reservoir characterization modeling...

... management modeling & simulation pvt measurement completion drillstem testing drillstem/well testing conformance improvement complex reservoir fluid dynamics enhanced recovery flow in porous media upstream oil & gas flowing bottomhole pressure wet zone density case fluid property...

... resource technology conference urtec 3719890 calculation geometry microseismic data water production overlap rta half-length modeling & simulation drillstem testing drillstem/well testing multiplier workflow permian basin standalone well landing zone URTeC: 3719890 Closing the Gap...

... optimization. machine learning hydraulic fracturing artificial intelligence modeling & simulation shale gas complex reservoir new workflow modeling result workflow optimization algorithm reservoir simulation variance-covariance matrix high precision mgd posterior histogram history...

... to fracture properties, geomechanical responses, and production behaviors. They provide useful insights for using real-time DTS data in fracture diagnosis/design and production data analysis. production monitoring flow in porous media modeling & simulation reservoir surveillance shale gas...

.../geometries of multi-wells in a well pad setting, providing valuable suggestions for well spacing optimizations. modeling & simulation artificial intelligence optimization problem hydraulic fracturing reservoir simulation drilling operation upstream oil & gas variance-covariance matrix...

.... Additionally, this study serves as a guide to help improve the DL applications in production forecasting. production forecasting artificial intelligence modeling & simulation neural network upstream oil & gas rnn application algorithm long term dependency deep learning proceedings...

... of Wolfcamp parent-child well pairs distributed widely across the Delaware Basin (see Figure 1). machine learning modeling & simulation energy economics drillstem testing upstream oil & gas complex reservoir drillstem/well testing artificial intelligence information neural network...

... fairuzov production interval batch free-water batch front separator heel section unconventional resource technology conference modeling & simulation drilling operation flow pattern vertical section elapsed time production facility URTeC: 3723498 A New Production and Gathering Technique...