... monitoring of the assets and reduces the risk of lost production due to ESP failure or downtime. upstream oil & gas production monitoring workflow production control petroleum engineer artificial intelligence machine learning frequency reservoir surveillance artificial lift system society...

... conference deep learning machine learning accuracy international petroleum technology conference santoso neural network leakage prediction hoteit proc spatial information artificial intelligence information cnn-bilstm leakage detection bayesian optimization 1. Introduction Different...

... Processing (NLP) has been developed as a dedicated branch of artificial intelligence to build machines that understand and respond to text or voice data in much the same way as humans do. NLP algorithms offer the best possibility to address the described business needs managing issues related to the written...

... fracturing operation production chemistry artificial intelligence Introduction All wells need to be clean-up of flowed-back – at least once after drilling and completion, potentially after some workover operations. This process is usually managed very empirically. Copy-paste of pre-existing...

.... waterflooding chemical flooding methods efficiency artificial intelligence injector producer polymer injector upstream oil & gas enhanced recovery implementation onepetro polymer injection constraint operational constraint allocation mangala field india optimization problem machine...

... in a cement job after placement through a novel stabbed-in inner string cementing system. cement chemistry artificial intelligence upstream oil & gas planning & scheduling cement formulation cement casing design reservoir surveillance cement property simulation production control...

... in terms of oil barrels. dataset upstream oil & gas artificial intelligence steam-assisted gravity drainage enhanced recovery regression sagd concentration prediction data-driven method operator machine learning recommendation improved operational carbon footprint reduction algorithm...

... in that only one sample is required to draw the Coulomb failure envelope. In the present study, we use cylindrical rocks with a diameter of approximately 1″ and an approximate length of 2″ for the rock compression test. All the tests were performed at a constant strain rate of 1microstrain/sec. artificial...

... identification of mature areas within the reservoir and/or projects that are ready and would benefit from significant steam reduction. The methodology uses heat management knowledge, large datasets, and artificial intelligence (AI) technologies. The workflow exploits the log data, existing full-field earth model...

.... Overall, annually 46MMSCF reduction in flare volume and 30-thousand-barrel reduction in lost oil production volume was identified. upstream oil & gas artificial intelligence threshold shutdown climate change sustainability sustainable development dataset detection figure 9 sensor...

... combination (MN) associated with the water tortuosity. relaxation equation upstream oil & gas log analysis artificial intelligence fraction well logging measurement hn equation nmr measurement application tarr brittin journal conventional carbonate complex dielectric dispersion...

... supervisor petroleum engineer data mining roughness artificial intelligence big data multiply real time system mpd supervisor prediction pipeline rpm drilling operation information leveraging sme knowledge engineering storage society Introduction This paper will describe a real-time...

... are employed in simulation efforts as a screening tool for selection of geological formations for CO 2 storage as well as for storage capacity, selection of CO 2 injection intervals, and containment forecasting. permeability log analysis well logging artificial intelligence upstream oil & gas...

.... logging while drilling algorithm upstream oil & gas artificial intelligence reservoir characterization drilling measurement inversion software machine learning annual logging symposium lwd drilling data acquisition inversion algorithm operator vendor-independent gradient-based stochastic...

... and target states is overcame by robust data structure that enables business and artificial intelligence workflows for well and facility smart analytics. The enhanced workflow allows surface facilities surveillance in a relative high frequency, this in combination with the well monitoring improve...

... evaluation of DA and enabled the prediction of the DA filtrate performance from complicated physical and chemical processes. upstream oil & gas machine learning propagation artificial intelligence perforation fracture filtrate coefficient fracture propagation hyperparameter permeability...

... corrosion neural network riser corrosion machine learning modeling tsai spe annual technical conference pipeline corrosion application predictive modeling accelerating pipeline corrosion modeling materials and corrosion artificial intelligence prediction flowline corrosion dimension reduction...

... help improve oil recovery. However, PAG oil recovery was no better than WAG oil recovery in these laboratory-scale core floods. upstream oil & gas flow in porous media fluid dynamics miscible method gas injection method artificial intelligence evolutionary algorithm saturation wag...

... that can assist engineers to accurately infer the state of fluid contamination as well as recommend actions when an operation has gone astray. We have developed and patented Intuition Technology, which is an advanced causation-based artificial intelligence framework designed to forewarn complex, hard...

... with a unique and novel solution to the Engagement Enigma. social responsibility sustainable development upstream oil & gas artificial intelligence engagement professional development continual professional development engagement enigma engc sdg professional engineering competence engineer...