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Artificial Lift Techbook 2019

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HartEnergy.com | April 2019 | 51 ARTIFICIAL LIFT: TECHNOLOGY decline was a result of a pump problem. A proactive workover was performed, which confirmed the pump issue was a result of scale inside the pump. The new pump resulted in an addi- tional production of 610 bbl/d. Properly applying analytics When it comes to using analytics for optimizing production of wells, the tools exist, the computing power exists and real- time data from SCADA systems have existed for decades. However, the challenge the industry faces is that it doesn't always have the correct data that are required to optimize wells, or that it is not using automation appropriately. There are several areas in which operators can still improve. For example, field staff still record downtime on a well-by- well basis manually and enter it in the production reporting system manually each day. Automation can perform this task much better and achieve much better granularity, so that all downtime is captured. Additionally, wells on artificial lift often have real-time downhole information but no wellhead and casing pressure transducers to bring in flowing pressure and temperature or casing pressure. Any well analysis software requires flowing pressure and temperature to perform analysis. When production tests on wells are recorded, the artificial lift operating parameters are seldom recorded with the tests. Only oil, water and gas rates are recorded along with wellhead pressure. For an ESP, the operating frequency, pump intake pressure and pump intake temperature should be recorded simultaneously so that ESP performance can be analyzed. Downhole completion information is entered by drilling and completion staff who might not understand what infor- mation a production engineer or analytic software tool needs to analyze, for example, gas-lift valve depths and settings or ESP pump type and stages. The format for input of the arti- ficial lift system details needs to be standardized so it meets the needs of the software tools and automatic population of those tools can be performed. The technology exists to identify gas-lift and ESP produced wells that are losing production as a result of an undiagnosed artificial lift problem. The ability to diagnose and rectify such issues can alleviate lost production. The biggest challenge that the industry faces for appro- priately applying analytics is a failure to collect all of the data needed in a synchronous manner. It's an easy fix, if and when automation, production and IT combine to ensure that a complete dataset exists for true production optimization using analytic tools. n References available upon request. Figure 2. The chart depicts production loss over time due to a pump issue and subsequent production gain after a proactive replacement. (Image courtesy of Artificial Lift Performance) Figure 1. The chart depicts an automated analysis of a production test with gradient survey on a gas-lift well. (Image courtesy of Artificial Lift Performance)

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