... norwegian continental shelf operation team drilling & well portfolio lesson learned execution implementation artificial intelligence mimis category best practice notification Introduction Wells are designed and constructed based on a broad suite of input data, including optimum surface...

... operational efficiency and strategic planning. Its adoption has the potential to set new benchmarks in operational decision-making, aligning with industry needs for efficiency. liquified natural gas (lng) decision support system artificial intelligence decision analysis decision-making process...

... artificial intelligence oil production water injection optimization injection-production ratio adjustment Introduction Water flooding, as the most cost-effective extraction method, is the primary means of secondary oil recovery. Reservoirs developed through water flooding are mainly continental...

... responsibility data mining sand production digital transformation sustainability artificial intelligence sustainable development operator geology sand control machine learning university sand control prediction core sample malaysia emission ml model cost-effective digital transformation sand...

... operation. sedimentary rock drilling operation geologist complex reservoir artificial intelligence machine learning downhole vibration geology rock type reservoir geomechanics real time system bit wear performance indicator clastic rock mudrock bit selection geological subdiscipline...

... and competent workforce sets the fundamentals to achieve long-term success and sustainability in asset management. programme artificial intelligence personnel competence scdp petronas upstream workforce competency gap implementation reliability upstream operation training course asset...

.... reservoir drillstem testing artificial intelligence drillstem/well testing information management media reservoir dual-porosity media reservoir pseudo-steady state deep learning natural language pressure derivative parameter inversion reservoir characterization inversion interpretation method...

... subsurface storage machine learning prediction mercury injection deep learning artificial intelligence climate change relative permeability neural network rp curve co 2 polar coordinate accuracy micp data mercury withdrawal dl-micp method brine aquifer gas-water rp curve geology flow...

... higher resolution for best results (i.e., lower flight velocity and lower vertical step). air emission emission rate cross section artificial intelligence wind direction downwind distance wind speed climate change wind condition plume simulation flight dataset vertical step...

... and portfolio management geological subdiscipline history ai fast-tracking infill well identification geology condensate reservoir artificial intelligence hydraulic fracture simulator simulation model complex reservoir workflow machine learning infill well location model calibration complexity...

... into model selection and data preparation, aiming to enhance the reliability and efficiency of SRP working condition diagnosis models. artificial lift system petroleum exploration & development artificial intelligence beam pumping machine learning accuracy diagnosis oilfield company neural...

... completion installation and operations artificial intelligence assessment iam-dof drive pipe housing head integrity issue production efficiency integrity risk assessment bean-up duration workflow geologist wellhead growth drillstem testing optimization choke optimization integration tubing...

... geology clastic rock proppant fracturing fluid drilling fluids and materials mudrock modeling & simulation drilling fluid property wellbore integrity artificial intelligence log analysis drillstem/well testing fracture drillstem testing hydraulic fracturing sandstone drilling fluid...

.... coreai machine learning artificial intelligence subsurface evaluation unlocking new opportunity modeling data mining core data legacy data laboratory analysis core analysis revolutionizing resource-to-reserve fluid property platform subsurface analysis reduce uncertainty reservoir...

... flow in porous media co 2 chemical flooding methods geological subdiscipline geology subsurface storage artificial intelligence sustainability drillstem testing modeling & simulation enhanced recovery production control climate change sustainable development reservoir characterization...

... preservation. sustainability social responsibility air emission artificial intelligence machine learning sustainable development compressor back pressure control valve climate change recycle valve valve data mining consumption operation energy consumption chevron thailand exploration...

... opportunity matrix geologist engineering task ml solution artificial intelligence production optimisation model register core production engineering task operation interdependency application geology production engineering task production system implementation Introduction The oil...

... reservoir navigation geosteering artificial intelligence drilling operation stratigraphy apparent dip platform trajectory integrating geosteering technique well logging reservoir characterization right side correlation rop correlation well drilling parameter real time system interpretation...

... deep learning anomaly score application threshold spe annual technical conference compressor anomaly detection category artificial intelligence shutdown sensor data engineer bangkok shutdown event visualization tool machine learning technique Literature review Anomaly detection...

... values, as compared to the mixed-wet, implying that water needs higher pressure to bulge into the oil in the pore spaces. sedimentary rock geology geologist rock type contact angle carbonate rock flow in porous media fluid dynamics waterflooding artificial intelligence pore space...