... and profits and help refiners to find a balance. Use of industrial AI (i.e., Hybrid model) can be a key enabler to make this decision with high confidence. upstream oil & gas downstream oil & gas optimization problem social responsibility emission asia government reduction climate change...

... that are still uncertain to be granted at the horizon. fluid dynamics inflow performance geologist reservoir simulation geology optimization problem well performance artificial intelligence production control asia government europe government production monitoring upstream oil & gas russia...

... optimize oil production optimization problem artificial intelligence production monitoring real time system operational efficiency integration society Introduction Alongside the industrial development moving forward to the era of digitalization, this industry seeks innovative approaches...

... intelligence uae government geologist reservoir simulation asset and portfolio management water management deep learning petroleum geology enhanced recovery asia government optimization problem israel government reservoir characterization geological subdiscipline metamodel economic geology...

... aspects of energy efficiency: process needs, conversions and control. This paper presents a novel approach to that query. valve optimization problem requirement united states government sustainable development hydraulic requirement flowserve upstream oil & gas social responsibility...

... learnt and challenges faced in adopting this change will also be showcased. upstream oil & gas technician artificial intelligence operator driven reliability total productive maintenance adnoc onshore tpm optimization problem knowledge management objective asia government uae...

... steam generation by 3.85 million tons annually. This resulted in substantial monetary savings of $77 million USD each year. sustainability air emission united states government downstream oil & gas optimization problem social responsibility sustainable development steam system...

... and capillary pressure functions from unsteady-state core flooding data and highlight the potential for this approach to enhance reservoir management strategies. geology artificial intelligence geologist optimization problem upstream oil & gas flow in porous media fluid dynamics asia government...

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...-operating recommendations to field operations. scenario optimization problem upstream oil & gas artificial intelligence united states government enhanced recovery waterflooding machine learning implementation capacitance resistance model management application enhancing waterflooding...

... waterflooding china government upstream oil & gas asia government big data risk management information management artificial intelligence software engineering optimization problem asset and portfolio management reservoir surveillance data mining enhanced recovery cloud computing production...

... brownfield projects, underscoring the significance of energy strategy optimizations in maximizing efficiency, reducing emissions, and ensuring long-term project success. asia government upstream oil & gas sustainability optimization problem sustainable development ethane recovery optimization...

... on generating an Ensemble of simulation runs (100s-1000s), varying field-level and well configuration parameters. We follow a loosely coupled process to solve the field control parameters and well placement optimization problems. Output data from the field, well and completion levels are collected automatically...

... the requirements and use of the Digital Twin to allow for the effective solution of the planning and optimization problem. In particular, it highlights the requirement of a model of record and an "evergreen" Digital Twin that should include the automated processes to assess the quality of the data consumed...

... with a high number of uncertainties and high well count, paving the way toward significant field development planning acceleration. deep learning upstream oil & gas reservoir simulation asia government workflow modeling & simulation artificial intelligence history matching optimization...

... against the selection criteria and critical success factors. air emission artificial intelligence upstream oil & gas oman government asia government climate change evaluation zero routine flaring revenue identification table-1 npv utilization reduction oqep optimization problem...

... limitation optimization problem constraint choke workflow stimulation api Introduction Matrix acidization of carbonate oil and gas reservoirs is a well stimulation technique that has been in practice since the late 19 th century ( Rae et al. 2003 ). Matrix acidization aims to mitigate the near...

... asia government optimization problem drilling operation workflow rock type geology drilling equipment geological subdiscipline torque accuracy algorithm bit selection calibration workflow sub workflow achievement artificial intelligence knowledge management simulator fea dynamic...

... presented herewith, demonstrates pragmatic approach followed in this data-driven automation and value generated utilizing this novel methodology. drillstem/well testing optimization problem asia government production logging upstream oil & gas planning & scheduling drillstem testing...

... of ICM by addressing sustainability issues within the context of production planning and optimization. upstream oil & gas optimization problem artificial intelligence sustainability climate change social responsibility icm operation co 2 knowledge management petroleum engineer...