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Artificial Lift Techbook 2018

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46 | July 2018 | hartenergy.com ARTIFICIAL LIFT: CASE STUDIES A dvances in real-time data transmission have been a game-changer for improving the effectiveness and runlife of artificial lift sys- tems. However, sophisticated gauges and sensors capable of delivering large volumes of information are just part of the solution. To meet the economic and technical challenges of today's wells, opera- tors require a more comprehensive approach that transforms data into action through round-the- clock remote system surveillance, quick identifica- tion of necessary remedial action before problems occur and post-job investigation to analyze equip- ment failures and correct issues going forward. What traditionally involved a reactive process, with data from failed electric submersible pumps (ESPs) analyzed by multiple systems in a time-con- suming and inefficient manner, has evolved into a proactive streamlined workflow that quickly iden- tifies events and recommends appropriate action while managing pump operations for the entire well production life cycle. From a single digital platform, the Schlumberger Lift IQ production life-cycle management service provides an integrated, solutions-based surveillance approach that securely collects, transmits, evaluates and interprets real-time data to optimize artificial lift performance. Data transmitted from the well site by satellite or cellular connections are monitored by a dedicated team of engineers at six remote 24/7 Artificial Lift Service Centers (ALSCs) strategically located in Europe, the Middle East, North America, South America, Russia and Asia. Using tools embedded in the system, experts simultaneously monitor data from multiple wells across fields, analyzing hundreds of alarm triggers to capture, mitigate or prevent adverse pump events. They identify causes, such as scale buildup, and take the necessary corrective actions to extend pump life, avoid workovers and prevent shutdowns. Experts can use the data to correct specific problems, update pump regimens to accommodate fluctuating condi- tions or identify underperforming wells that could see improvement with pump optimization. The ALSC processes alarms and events and uses diagnostic tools to communicate real issues to field operators to take immediate action to save ESPs from potential damage or failure. Each event is classified and assigned a level of severity to easily prioritize critical intervention, assign appropriate actions and compile them in a database to perform further event analysis. The surveillance workflow features a "fast loop" for responding to alarms and taking immediate action after analyzing the data and a "slow loop," for conducting root-cause analysis and long-term remedial action and improving pump runlife by identifying recurring events and implementing operational procedures and design change. Additionally, ALSC production engineers work closely with Schlumberger's dismantle, inspection and failure analysis (DIFA) teams, which provide post-job analysis and inspection to determine spe- cific causes of equipment failures and recommend further corrective actions. Early response to scale buildup Scale buildup on ESPs is a common occurrence leading to a host of problems that impact the efficiency of the system over time, often with no outward or immediate indications. In cases of 24/7 surveillance service captures, interprets and recommends action to boost performance. Optimizing Artificial Lift By Jose Leon Araujo Schlumberger

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