... utilization improvement with respect to fleets (Vessel, Truck, Rigs). With respect to materials, a 10-20% reduction of material inventory levels all improved through AI. As the workforce are also part of the environment it has been observed that identifying unsafe behaviors within a large operation, also...

... we mean the analytical solution, which was modified by our research group to take into consideration common real field cases such as shut-in wells, workover operations, etc. by introducing dynamic characteristic coefficients [ 1 ]. upstream oil & gas artificial intelligence pinn...

... and emissions. Multiple multi-layered machine learning models were built to compare and analyze a wide variety of data inputs for bill of materials, operational/project schedules; This includes (a) ‘product movement data’ which describes the changes in demand and supply of a product, (b) ‘product specification...

... and extend the overall ESP run life. PFA enabled a major Latin American operator, experiencing frequent unplanned ESP failures, to identify critical events while pumps were running and take remedial actions to extend ESPs run life. Methods, Procedures, Process PFA leverages artificial intelligence (AI...

... Abstract The growth in hydrocarbon extraction from shale basins has come with a set of challenges in doing so efficiently, safely and in an economically viable manner. The emergence of practices like Continuous Frac and Simul-Frac have become commonplace as operators continue to drive...

... of Operations Research methods in modeling and optimizing annaul delivery program (ADP) in the LNG export industry. Aiming to generate smooth and safe LNG cargo offtake and dispatch, berthing, delivery, and shipping schedules, based on production predictions, fleet characteristics and delivery contracts, we...

... specific operating conditions with respect to the power, fluid level and fluid content. Oilfield operation workflows often require extensive surveillance and monitoring by subject-matter experts (SMEs). Detecting issues like formation of unwanted gas and emulsions in ESPs requires constant analysis...

... at distant green fields during their development, there the flow rates can be measured once a month with a mobile unit. The objective of this paper is to develop a virtual flowmeter model based on indirect high-frequency data of well operation and ESP. In Gubkin University, at the Petroleum Reservoir...

... oil & gas fpi machine learning adnoc esp artificial intelligence pre-failure state subject matter expertise electrical submersible pump operation run life algorithm nybl failure prediction index rrl algorithm application petroleum engineer Introduction ADNOC's digital...

... operations. The benchmarking workflow involves intelligent measuring techniques with an embedded automated rig operations detection algorithm. The analysis of data from rig sensor and operation reports from multiple teams enables the evaluation of every drilling activity with high degree of granularity...

... Abstract Smart Metering Solutions have been developed and implemented on TOTAL assets by combining digital technology and in house metering expertise to improve quality of data needed for reservoir monitoring, installation operation and fiscal applications. Deployment within TOTAL upstream...

... across a large number of installations. This technology service uses rig sensor data to automatically generate an objective description of the drilling process using the patented “Automated Operations Recognition System” without the need of additional personnel or equipment on the rig site. This simply...

... Abstract E&P companies are increasingly instrumenting its fields and introducing new technologies with the objective to proactively monitor and surveillance of its wells, reservoir, and facilities for better operations and management. This brings in wide variety of technologies from...

... Abstract Well testing operations are an essential component in reservoir characterization process. In deepwater environments where rig costs are high, operating safely and cost efficiently is important. As a result, many operators are constantly searching for more efficient and cost effective...

... led to an evolving convergence of business and process control networks, which has generated the effect of increased efficiency and visibility to field operations, but also brought with it new cyber security challenges. Modern technologies contain well known cyber exploits and vulnerabilities which...

..., operationally achieve these goals? A new system has been designed specifically to address these challenges. The system was initially developed by a global seismic acquisition and services company to manage its own offshore operations, reduce SIMOPS conflicts, and streamline delivery of services ( Darling...

... for the implementation of IO in mining and Oil and Gas. Specifically it will discuss: Common drivers for IO in mining and oil and gas. Similarities between the application of IO Differences in the application of IO Single site versus a value chain approach. Remote control versus an operational support...

... of current data and information based technologies to support the desired unmanned operational model. Engineering design changes and equipment rationalisation and selection are also needed: e.g. No local gauges, using smart instrumentation, high capacity communications. In terms of removing people from...

... Abstract In recent years, the potential value of real-time drilling data has been well documented and applied across the globe within the Oil & Gas Industry. The information is traditionally used for timely and effective decision-making for drilling operations. Real-Time work processes has...

... In more recent times, the rise of Visual Asset Management (VAM) technology has helped operating companies to create efficiencies through better planning and improved operational practices. The technology provides a cost effective alternative by providing up to date and high quality...