... day. geologist consumption reserves evaluation geology unconventional play petroleum play type sustainable development oilfield venezuela government artificial intelligence operation machine learning manage mature oilfield upstream oil & gas renewable energy asia government...

... performance and determining the best performing model among many candidates. Finally, it shows practical ways in which these models results can be used to generate visual tools to improve the decision-making process of engineers and operators. artificial intelligence matrix interpretation beam...

... artificial intelligence machine learning toc bernhardt saturation coefficient model specialist Introduction Vaca Muerta Play is one of the most important shales in the world with an extension of 30,000 km2, with a significant organic – rich thickness (200 to 500 meters) in different thermal...

.... Of these alarms, five were correct and one of them was a false alarm. Of the five correct ones, three were events that had not previously been detected by the operators and, in that sense, were revealing. waterflooding upstream oil & gas enhanced recovery artificial intelligence argentina government...

..., fit-for-purpose technology and artificial intelligence there is no benchmark that cannot be improved, even if it's drilled in the middle of a worldwide pandemic that greatly affected the oil and gas industry and life in general. This paper will explain how the Margarita 10 was drilled and completed...

... these challenges but have mostly served as design aids rather than operational tools. Simulations, machine learning and artificial intelligence can be used to model plant start-up / shut-down, facilitate optimization and alleviate bottlenecks, however, these tools help to make inferences about processes; real...

... government geologist complex reservoir united states government petroleum play type bitumen heavy oil play oil sand reservoir characterization machine learning compressibility canada government porosity equation structural geology rock type artificial intelligence mudstone pattern...

... architecture digital twin tool artificial intelligence digital twin functionality requirement time-series database unity visualization information threej elastic container service integration Introduction The term Digital Twin, referring to the digital representation of an indistinguishable...

... to previously solved problems. The study provides a solution with full data-driven objectivity for decision-making using the results of a mixed integer non-linear programming problem. asset and portfolio management optimization inflow performance artificial intelligence equation upstream oil...

... caprock integrity fracture permeability reaction artificial intelligence reservoir characterization optimization aquifer saturation petroleum engineer flow in porous media enhanced recovery climate change modeling caprock failure caprock leakage injection petroleum play type reservoir...

..., editing is often required. It is not unethical to edit, correct, or otherwise modify a log if corrections are needed and made properly. Abstract Artificial Intelligence (AI) and Machine Learning (ML) have made log reconstruction process much easier, faster, and economical by means of learning...

... upstream oil & gas artificial intelligence information fusion canada government database sharepoint digital transformation accelerate digital transformation power bi dashboard collaboration repository low code application visualization argentina government information management...

... physical information as possible to guide the neural network to best correlates the input well-control and output well-response, making it ideal for well-control optimization. waterflooding united states government fluid dynamics reservoir simulation reservoir surveillance artificial...

... exhibition xx-003 failure prediction methodology correlation contribution spe society artificial intelligence colombia government society pca matrix algorithm Introduction Over 90% of producer wells in the world require an artificial lift system (ALS). ( VON FLATERN, 2018 ) mentions...

... equation geological subdiscipline moncayo-riasco cpa eos asphaltene precipitation mc simulation prediction artificial intelligence asphaltene aop guerrero-benavide monte carlo characterization firoozabadi fuel crossinteraction correspond correlation fraction Kontogeorgis...

... artificial intelligence upstream oil & gas machine learning reservoir simulation enhanced recovery society prediction diffusivity equation waterflooding optimization problem engineering petroleum engineering accuracy algorithm metaheuristic waterflooding optimization information...

..., and maximize the economic benefits. real time system machine learning artificial intelligence knowledge management integrated asset modeling thermal method enhanced recovery asset and portfolio management steam-assisted gravity drainage optimization problem upstream oil & gas information...

... is enabled by the fact that the tool honors the reservoir physics. At the time of writing this paper the recommendations of the predictive model have been implemented in the pilot sector of the field and early positive results have been observed. artificial intelligence traditional reservoir physics...

... traditionally achieved. artificial intelligence information database example case data mining specification screenshot application big data apache spark operation wellsite information transfer standard markup language witsml data consumer protocol visualization dashboard upstream oil...

... using a multi-attribute and multi-disciplinary interpretation. It is a powerful tool for characterizing problematic fracture networks in unconventional reservoirs. reservoir geomechanics artificial intelligence reservoir characterization hydraulic fracturing fracture characterization...