..., httpsarxiv.org/pdf/1802.03888.pdf production forecasting configuration depletion complex reservoir machine learning scenario magnitude artificial intelligence urtec delayed secondary bench development parent child degradation midland basin wolfcamp staggered configuration forecasting production...

... in the vertical wells and its implications for future use in deciding frac stage placement. clastic rock rock type mudstone sedimentary rock complex reservoir artificial intelligence machine learning urtec field development structural geology petroleum geology reservoir characterization...

... geomechanics geological subdiscipline optimization problem fracturing materials npv dpi permeability spe hydraulic fracturing technology conference pearson development optimization hydraulic fracturing technology conference depletion frac injection drillstem testing artificial intelligence dsu...

... to capture the intricate details of these dynamics, hindering optimal drilling performance. This study addresses this challenge by applying generative artificial intelligence (AI) with transformers for predicting drilling dynamics in CTD operations. Transformers excel at capturing complex relationships...

... clastic rock sedimentary rock reservoir optimization problem artificial intelligence geological subdiscipline geologist complex reservoir flow in porous media evolutionary algorithm permeability fluid dynamics geology rock type enhanced recovery unconventional reservoir equation...

...; Alvayed et al., 2023). However, in the absence of microseismic data, there are multiple solutions for the inversion of fracture network, making it difficult to obtain the accurate distribution of hydraulic fractures. With the rapid advancement of artificial intelligence, machine learning methods have been...

... gas injection method geology enhanced recovery data mining modeling & simulation machine learning reservoir visualization urtec conference geologist artificial intelligence geological subdiscipline co 2 real-time visualization bhp unconventional resource technology conference...

... sufficiently capture the key characteristics of shale and tight recoveries. In addition, machine learning and artificial intelligence also play an important role in shale and tight reservoir modeling (e.g., Han et al., 2022; Wang et al., 2024). This is due to one of the key features of shale and tight asset...

... for hydraulic fracturing operations (Li et al., 2018; Tang et al., 2018; Kumar et al., 2015). structural geology mudrock well logging mudstone young sedimentary rock poisson wellbore design xgboost clastic rock rock type mineral wellbore integrity artificial intelligence reservoir...

... artificial intelligence urtec rgnet separator drillstem/well testing asset and portfolio management node equation proceedings implicit coupling example 3 well performance workflow accuracy ipr iteration example 2 software proxy Abstract Optimization of production network systems...

... testing complex reservoir artificial intelligence depletion beta paper eur pcf assumption interference parent-child depletion spe hydraulic fracturing technology conference dataset seg unconventional resource technology conference alpha URTeC: 4009115 Workflow to Quantify and Estimate...

...., 2021). This paper focuses on using an artificial intelligence model in a two-phase process. First phase is ROP prediction, using a preexisting data set ROP is predicted using multiple algorithms then their results are evaluated against the real ROP values. The algorithm with the highest accuracy...

... as well matures. Therefore, one of the key business questions is to find the optimal gas injection rate that yields the maximum liquid production rate for any given GL well at any time in its life span. gas lift performance curve artificial lift system bakken artificial intelligence urtec...

... complex reservoir neural network geologist reservoir simulation sedimentary rock deep learning rock type production monitoring hydraulic fracturing artificial intelligence production control forecasting simulation ensemble mudstone ensemble tight forecast scalability workflow...

... of commonly gathered data, this workflow both stream-lines and accelerates field development planning and execution, but also provides significant cost savings throughout the life of an asset. drillstem/well testing drillstem testing artificial intelligence unconventional resource economics shale...

... clastic rock sedimentary rock geology shale gas mudstone unconventional resource technology conference complex reservoir production forecasting proceedings seg unconventional resource technology conference rock type urtec doi geologist mudrock artificial intelligence transition...