... of impending problems well before they occur, for mitigation and prevention of ESP service interruptions. Artificial Intelligence ESP performance data mining principal component machine learning ESP operation operation predictive model impending problem dataset real time system variance...

... & Reliability became household phrases. The thought was that even a low producing well could be profitable. In Feb 2016, less than 18 months later, the price of oil plummeted to a low of $33.62 per barrel. data mining operational cost Artificial Intelligence platform investment Upstream Oil & Gas...

... Abstract Drilling operations is one of the potential areas where data mining and advanced analytics technology can be used to improve the company's bottom line. With real time drilling technology, huge amounts of data can be generated and captured. Exploiting this data and transform...

... applications that validate the data according to a company's business requirements. The newly designed Log object and addition of key metadata will address some of the historical organizational challenges of previous versions of the WITSML Log object and enable more intelligent data mining and more efficient...

... profile process data long-term scheduling operator asset management society of petroleum engineers data mining prognostic solution application performance optimization application show foresight forecast Introduction The oil and gas industry is facing a number of challenges related...

... and translate it into meaningful information for managers to take key decisions. data mining necessary information Internet real time system traditional approach decision maker predictive analytics deferment Upstream Oil & Gas reduce deferment real-time decision operator manage risk...

... different methods. Reservoir engineers are faced with the challenging task of estimating recovery factor by optimizing a large number of parameters with limited, sometime inaccurate information. This dilemma calls for an alternative approach in handling the noisy data. Data mining and classification...

... software Crompton data mining Efficiency digital oilfield profitability operator transformation intelligent energy application turn intelligent energy investment digital technology business model oil price society of petroleum engineers oil shale reduction Drilling shale oil...

... envelope application surveillance data mining drillstem/well testing information meaningful information operator real-time data smart decision alert exception society of petroleum engineers analysed information Introduction Due to the availability of large quantities of real-time data...

... intelligent operations are described, and several case studies of real applications of analytics are referenced. Artificial Intelligence optimization data mining information machine learning Pattern Recognition production process spe annual technical conference workflow operation predictive...

... quality database big data innovation knowledge computer Artificial Intelligence physical model control system computing data mining information Engineer operation noise exploration reservoir characterization storage vendor software dataset big data application silicon snake-oil...

... young people in the industry as well as a higher level of acceptance of technology and change in our personal lives. So we should find it easier to make more rapid progress now than in the past. What must change to achieve that progress? real time system data mining oil company knowledge...

... sensitivity wellwork efficiency objective algorithm Model Performance predictive analytics criteria optimization evaluation decision-making process society of petroleum engineers spe annual technical conference data mining Exhibition application decision tree model Introduction Wellwork...

... that (a) data mining and neural networks are by far the most popular AI technologies used in the industry; (b) approximately 50% of respondents declared they were somehow engaged in applying workflow automation, automatic process control, rule-based case reasoning, data mining, proxy models, and virtual...

... equipment availability and avoid equipment failure. ■ Costly unnecessary maintenance can be avoided. ■ Maintenance resources can be deployed in an optimal fashion. ■ Analytical insights can be used to improve equipment design and maintainability. data mining multiple different data...

... enhancement new solution knowledge management continuous improvement production engineer upstream oil & gas stakeholder responsibility engineer production optimisation solution end user information data mining real time system Planning for a Sustainable Production Optimisation Solution...

... principles models used in the past. It's generally faster to implement, easier to maintain, does not require sophisticated engineering knowledge, and makes use of a wealth of existing but unused data, representing a breakthrough in the area of equipment health. correlation monitoring data mining...

... information compressor operator sensor collaboration center artificial intelligence collaboration tool spe 128745 data mining controller drive reliability performance tim snyder turbine predictive analytics Introduction The business function of managing equipment availability takes...