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- W2074592557 abstract "Abstract This paper presents the assessment methodology, technology, data sources, workflows, critical factors and intermediate results of Marathon Oil Company's production surveillance solutions implemented within two major asset teams, Permian Basin and East Texas. It is represented as a model for operators implementing digital oilfields, i-fields, or automation to improve the surveillance aspect of their production operations. The paper presents an asset-based collaborative project process for needs assessment, a surveillance solution for linking and visualizing production data, a workflow definition process, and a mentoring approach on the solution and workflow to insure successful implementation and value realization. Introduction Many owners and operators of North American oil and gas assets aim to improve asset productivity and return on investment through better production surveillance. These efforts have taken on increased importance due to an explosion of data sources, shrinking of the work force, maturing North American fields and associated challenges of pressure depletion, water production, and equipment failures. The typical production surveillance process consists of monitoring: oil, gas and water production rates against time and cumulative volume; downhole and surface pressures; flowing and artificial lift efficiency; downtime events and causes; any associated patterns (injection, fracture trends, etc.). The compilation of this data is then analyzed against test rates and the latest forecast or decline curve analysis, followed by field adjustments to optimize reserve recovery as well as production strategies. Through workflow-based value-analysis improvement projects, Marathon engineers are transforming their work processes from mere production monitoring to enhanced surveillance and optimization. They are on the way to achieving many benefits from these improvements, including increased production and reserves recovery, reduced time to identify problem wells, lower OPEX cost, timely correction of allocation problems, and integrated surface and subsurface data and operations. Traditionally, surveillance processes have been ruled by spreadsheets used to extract production and real-time data, manipulated and converted into correlations, tables, trends and charts. Following this approach, reservoir and production engineers spend an estimated fifty to seventy percent of their time finding, gathering and managing the data. This paper discusses projects recently conducted across Marathon's North American asset teams which focus on reversing this trend, allowing engineers to link directly to production data, and focus the majority of their time on data analysis and optimization of production operations. These projects used a proven methodology and technology consisting of:an asset-focused collaborative process for identifying and ranking the current workflows, data management, challenges and opportunities within production surveillance;a standardized solution for live-linking, visualizing, trending, correlating, analyzing and seamlessly linking production, process, intervention and equipment data; andeffective surveillance workflow definition and solution mentoring for engineer" @default.
- W2074592557 created "2016-06-24" @default.
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- W2074592557 date "2007-11-11" @default.
- W2074592557 modified "2023-09-23" @default.
- W2074592557 title "Success Stories in Onshore Production Surveillance and Optimization" @default.
- W2074592557 doi "https://doi.org/10.2118/110574-ms" @default.
- W2074592557 hasPublicationYear "2007" @default.
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