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Data-Driven Oil Fields 2017

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JANUARY 2017 | DATA-DRIVEN OIL FIELDS | EPMAG.COM 36 standing of the accurate number of well sites within each ba- sin, an inventory of equipment and the relationships among this inventory. Existing data discrepancies can be corrected. Figure 3 shows the data-gathering sources and the rela- tionships among equipment types. By adding fields to the database during the collection phase, information such as horsepower, well pressure, flow rates and similar informa- tion can be available to the operator. What the future holds As environmental regulatory requirements progress, so does data management software. The benefits derived from this initial large asset and subsequent ongoing projects pro- vide a segue into a new proficiency level using analytics capabilities to do more than just inventorying or report- ing. The integration stage has provided the basis for deliv- ering information on the specific operational performance of various equipment categories at individual well sites in producing basins within a single asset or in multiple assets. With the embedded analytics package, the producer can remotely monitor production well sites and equipment. Specific types at the sites–pumps, compressors, engines, etc.–can be assessed to detect emission problems, produc- tion anomalies or equipment malfunctions. For example, specific makes and models of high bleed equipment can be part of the data, identifying them as potential trouble spots for exceeding Quad O emission requirements. Future iterations of the software will have the additional capabil- ity of understanding current production activity, operat- ing conditions and equipment lifespan patterns in known geologic regions so that preventive maintenance programs can be implemented. The accessibility of the historical in- formation in the existing central data warehouse and the coupling with environmental management analytic tools can ultimately provide both operating efficiencies and su- perior emissions control. ■ Hong Qin is project manager and senior project consultant with Wood Group. Paul Glaves' most recent work has been as technical lead for the EPA GHG RP including subparts W and C. Jonathan Chen has most recently focused on de- veloping advanced GHG solutions. AUTOMATION (Image courtesy of Wood Group) FIGURE 3: EQUIPMENT RELATIONSHIP

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