... reservoir drillstem testing mineral optimization problem rock type flow in porous media condensate reservoir modeling & simulation acid artificial intelligence formation damage machine learning injection rate skin factor hydrochloric acid operation software permeability journal...

... the methodologies, technical insights, and operational outcomes of these initiatives, with a focus on multirate testing, IPSM calibration, IVM system implementation, and automated condensate optimization initiative. condensate production complex reservoir optimization problem asset and portfolio management...

... reservoir simulation optimization problem drilling fluids and materials social responsibility production logging artificial intelligence reservoir surveillance drilling fluid management & disposal sustainable development production monitoring efficiency production control reservoir...

... geology drilling operation optimization problem artificial intelligence drilling parameter reservoir geomechanics machine learning geological subdiscipline penetration algorithm rop mechanical specific energy input feature journal strength drilling efficiency rop model prediction dataset...

... oil shale complex reservoir gas injection method optimization problem mudrock rock type shale gas shale oil flow in porous media artificial intelligence co 2 enhanced recovery chemical flooding methods mudstone reservoir characterization evolutionary algorithm machine learning oil...

... of condensate, which is determined using tNavigator simulation model. The novelty of this study is combining both full-field model and RTA to optimize brown fields. geologist reservoir geology optimization problem asset and portfolio management modeling & simulation artificial intelligence...

... in achieving operational excellence and driving sustainable growth. drillstem/well testing complex reservoir drillstem testing optimization problem tight gas asset and portfolio management artificial intelligence reservoir surveillance production monitoring production control platform real...

... functions. The goal of the LM algorithm is to minimize the sum of squared residuals (the difference between the observed data and the model's predictions). The general optimization problem can be stated as: S ( θ ) = ∑ i = 1 n ( y i − f ( x i , θ ) ) 2...

..., and explainable models. Moreover, understand why challenges in data quality, system integration, workforce skills, and regulatory compliance must be overcome for broader industry adoption of ML in the gas pipeline sector. optimization problem operation pipeline operation machine learning algorithm ml...

... and compared with the base case. geology enhanced recovery optimization problem modeling & simulation displacement efficiency spe annual technical conference sensitivity chemical flooding methods paper experiment injection efficiency exhibition polymer efficiency geologist artificial...

... optimization problem steam-assisted gravity drainage petroleum play type enhanced recovery constraint heavy oil play asimi artificial intelligence injector geologist complex reservoir implementation scenario optimizer full field implementation prediction mukhaizna heavy oil field occidental...

... production and shutdowns. This completely autonomous, edge-based solution requires no manual intervention and can be scaled to hundreds of wells. artificial intelligence shutdown pump fillage optimization problem beam pumping well artificial lift system indicator inferred production frequency...

... showed improved performance for the RL model. algorithm hydrogen optimization problem machine learning simulator consumption reinforcement learning hydrogen liquification hydrogen liquefaction process linde-hampson hydrogen liquefier liquid hydrogen process simulation expander...

... characterization oman reservoir characterization optimization problem robust optimization approach alternative method ga result caliper geomechanical property deformation poisson petroleum engineer realization equation Introduction Rock mechanical properties and the stresses are considered...

..., leading to significant business value being added to the company. reservoir surveillance production control real time system gas processing simulation well overview sheet production logging complex reservoir technician oman artificial intelligence optimization problem business value...

... if any hard events happen to the equipment (the PID controller cannot handle it), the DHP toolbox starts learning from scratch again to overcome the new situations. machine learning neural network controller heuristic dynamic programming optimization problem wunsch dual heuristic dynamic...

... SAGD Modeling & Simulation Artificial Intelligence Upstream Oil & Gas waterflooding hot water surface steam quality surface steam quality reduction steam quality distribution steam-assisted gravity drainage steam quality improvement oil production enhanced recovery optimization...

... thermal method SAGD asset and portfolio management Upstream Oil & Gas field development optimization and planning Artificial Intelligence steam-assisted gravity drainage integrated asset modeling optimization problem wrfm process completion integrity Well Intervention society of petroleum...

.... Artificial Intelligence Upstream Oil & Gas recovery thermal method optimization problem steam chamber water temperature enhanced recovery steam-assisted gravity drainage Response Surface Methodology production well Oil Recovery viscosity society of petroleum engineers random search...

... within the targeted pattern. Based on the promising results from the CSS jobs a decision was made to build a permanent CSS capability in all future wells in "A" West. This will also enable a proper management of the lateral steam conformance. thermal method SAGD optimization problem Artificial...