... automatically extracted from the test set. These simple domain adaptation techniques allow us to achieve an average F1 score of 0.84 on the out-of-domain test set. machine learning Risk Assessment Gold dataset drilling engineer dataset Upstream Oil & Gas assessment historical data Artificial...

... and deliverables, including a rigorous deployment program for the selected solutions and structured handover to the operating asset. strategic planning and management Upstream Oil & Gas project management i-field solution mcp team MCP Artificial Intelligence i-field program planning...

... 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...

... logic Artificial Intelligence artificial lift system Upstream Oil & Gas Change Point dimension event-driven prescriptive model variation alternative action prescriptive model machine learning frequency fuzzy number Well Parameter operation society of petroleum engineers prescriptive...

... trouble Artificial Intelligence artificial intelligent engine drilling engineer real time system Upstream Oil & Gas drilling data stand pipe pressure drilling real time data decoupled architecture time data machine learning real time data analytic database real time data analytic engine...

... of effective and efficient handling and management. In this work, we propose an artificial intelligence technique of oilfield operation monitoring and intervention. Real time data generated from remote and challenging oilfields is used to decipher the performance of operational processes. We integrate the meta...

... prioritize and highlight few and effective measures at all levels of the organization. On the basis of the good experience from the testing, the project recommends to implement the method in the organisation. Artificial Intelligence performance requirement responsibility requirement accident major...

... accompanying uncertainty measures may be misleading. machine learning Artificial Intelligence drillstem/well testing production control Drillstem Testing constraint production monitoring Production data Management marginal gor data-driven approach uncertainty measure data pipeline pipeline...

.... Artificial Intelligence field development optimization and planning asset and portfolio management Upstream Oil & Gas reservoir simulation variance icv optimization process model realization robust proactive optimization objective function optimization production rate comparison purpose only...

.... The approach can be applied to other decision points, disciplines and capital project processes. Upstream Oil & Gas well concept project management subsurface objective strategic planning and management ownership Collaboration Implementation Artificial Intelligence well requirement Well...

... with any other approach that does not involve everything from the resource itself, to the production system, contractual conditions as well as a representation of the actual field operations. shale gas infrastructure optimization problem Artificial Intelligence Upstream Oil & Gas evaluation...

... systems automation technology applied in the current work organization. Upstream Oil & Gas real time system constraint Artificial Intelligence drilling process KPIs well owner performance indicator machine control Exhibition conflict drilling operation SPE Drilling Conference...

... Oil & Gas mapping gas-oriented access Statoil visual query system data source requirement factpage Artificial Intelligence information database terminology exploration ontology geologist society of petroleum engineers optique architecture query language data access query...

... oil and gas improve safety, reduce operational risk, and improve efficiency. Artificial Intelligence Use case data assurance record data mining Upstream Oil & Gas assurance data lake workflow big data data organization data quality application Witsml data assurance program...

... dimension Collaboration Implementation operations excellence artificial intelligence integrated asset modeling digital oilfield implementation communication DoF surveillance asset team workflow deferment society of petroleum engineers operation recommendation alliance Introduction...

.... machine learning information Asset Integrity Artificial Intelligence corrosion rate Asset Integrity Opportunity smart oilfield safety net smart oilfield safety Upstream Oil & Gas incident Signature integrity society of petroleum engineers systematically evaluate prediction asset...

... is increasing year by year. data quality Upstream Oil & Gas presentation Artificial Intelligence oil company benchmarking performance indicator Computer System qc application strategic planning and management information fusion timeliness operation sensor operator statistics WITSML...

... a way forward as a change management process. We conclude our discussion by presenting a recent example to highlight collaboration across the ecosystem to foster integration across disciplines, and enable utilization of internal and external expertise. Artificial Intelligence real time system...

... to wells has improved the quality of subsurface models used for reservoir management. optimization problem well rate Drillstem Testing DWRE Artificial Intelligence drillstem/well testing machine learning Upstream Oil & Gas CWTA regularization parameter Saputelli real-time production...