... intelligence fel workflow engineer database fenex selection visibility engineering workflow application implementation dashboard iteration enhancement collaboration integration platform information efficiency landscape stakeholder Introduction The Wells FEL is defined as the planning...

... platform china government well control geological subdiscipline technology simulation drilling operation big data drilling fluids and materials data mining application drilling fluid management & disposal completion selection machine learning drilling efficiency optimization...

... indicate that appropriate selection of well candidates, key parameters in the fracturing procedure, effects of well completion and impact of well age are very important for successful oil gain. As a result, a comprehensive procedure for selecting and ranking candidate wells for hydraulic fracturing...

... The current subsurface workflow manually selects platform locations and targets as follows ( Figure 1 ). Firstly, the shallow anomaly map is extracted from conventional seismic and calibrated with GSI data. After that, the shallow anomaly hazard map is overlaid with gas prospect map to indicate...

... agglomeration job sand/solids control resin selection chemical treatment sand consolidation chemical sand consolidation application execution chemical scon placement method permeability perforation interval length agglomeration treatment agglomeration Introduction One of the key challenges...

... incomplete measurements can have significant cost and HSE impact. A novel down-hole sample capture and preservation of reactive components system is presented, enabling quicker, definitive identification of risks to plant integrity, worker and environmental exposures and sales value. A selection...

... Abstract Proper selection of the drilling parameters and dynamic behavior is a critical factor in improving drilling performance and efficiency. Real-time monitoring allows the driller to avoid detrimental drill string vibrations and maintain optimum drilling conditions through periodic...

.... Wells in the Wolfcamp bench study area with optimum parameters are selected to obtain a type curve for the target zone. Schutter et al . (2015) show an application of various data analytics techniques (GBM, SVM, DT and RF) in conjunction with k-fold cross validation to demonstrate that the resulting...

... Abstract The surfactant selection for chemical floods usually starts with an extensive lab study identifying the formulation that provides the best recovery performance. However, it is oftentimes overlooked that in a laboratory setting the requirements on product availability and applicability...

... called "Attribute Forward Selection (AFS)." Then several machine learning algorithms were implemented and compared with to determine the most appropriate model to predict pump service life. More suitable pump configurations to improve pump service life were conceptually recommended based on the analysis...

... of ensemble learning algorithm performed better than the selected single classifier. As such, the accuracy rate of lithology prediction can be increased from 66% to 90%. machine learning nineteenth international joint conference proceedings Lithology identification accuracy recognition algorithm...

... and pitfalls of using probabilistic dynamic modeling in those cases are analyzed. General workflows are then presented for green and brown fields based on experimental design, proxy modeling, optimization and prediction candidates selection that provides solution for proper selection and implementation...

... × 10 6 cells). Reducing bacterial populations by 100% using batch dosed biocide chemicals is an impossible feat. It will never be possible to entirely eliminate 100% of bacterial populations, as some will always survive and potentially recover to pre-dose populations. Therefore, selection of the most...

... management portfolio corporate portfolio assessment performance delivery allocation risk management Upstream Oil & Gas information stochastic description Artificial Intelligence Portfolio analysis selection assessment objective risk consideration tradeoff consideration probability...

...). The utilization of carbon steel in the design of piping and equipment makes them susceptible to corrosion. Injection of corrosion inhibitor (CI) is recommended to minimize material degradation, and correct selection of CI is key to ensure corrosion management is effective and efficient. A comprehensive...

... or manufacturer's reports and published papers are reviewed and a criterion is developed for subsea pump selection base on: The conventional subsea separation system is compared to a multi-phase pumping one. All applicable types of subsea pumps including Helico-Axial (HAP), Twin Screw Pump (TSP...

... separation, gas volume fraction at the feed volume of sand being produced, sand handling capability of the facility etc. turned out as significant contributors for selection of desanders. Operator's conditions of high gas volumes, relatively finer particles being produced and low pressure environment turned...

... is to provide a practical portfolio management framework which balances the often conflicting requirements of managing short term financial stresses and long term strategic growth. portfolio optimization investment selection boundary Artificial Intelligence Upstream Oil & Gas portfolio...

... the cost but at the same time do more well intervention activities to maintain production and/or reduce decline in production. The selection method of the three key areas with criteria to have sustainable cost reduction shall be described in detail as well the implementation phase that emphasizes...

... the criticality of consideration for process safety (including HSE) aspect that is essential in the front-end loading engineering stages (i.e. Identify-Assess, Concept-Select, Front-End Engineering FEED). It is mostly based on our personal experiences as Senior Project Engineer in Kuwait Oil Company (KOC...