Less Footprints in the Snow for Salym Field in Western Siberia

Cramer, Ron; Mabian, Andrew; Tulalian, Robert

doi:10.2118/133236-ms

Cited by 11 publications

(2 citation statements)

References 4 publications

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“…All injector wells have automated orifice plate rate sensors as well as pressure gauges with continuous measurements available in real time. More details on the Smart Fields architecture can be found in [6].…”

Section: Well and Reservoir Data Acquisitionmentioning

confidence: 99%

Advanced Data-Driven Performance Analysis For Mature Waterfloods

Mijnarends¹,

Frolov²,

Grishko³

et al. 2015

Day 2 Tue, September 29, 2015

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We present a novel, data-driven approach to integrated well/reservoir performance analysis and opportunity identification for mid-to late-life pattern waterfloods.The Salym group of oilfields is located onshore in Western Siberia, Russia's prime oil producing province, and is operated by Salym Petroleum Development (SPD), a 50-50 joint venture between Shell and Gazprom Neft. The main productive formation, comprising strongly layered, deltaic/fluviatile sandstones, has been developed as a pattern waterflood, with over 950 deviated wells drilled since 2004. Overall watercut is currently around 82% and with oil production declining at 6-7% year on year, waterflood management is an absolute strategic priority.The operator has responded to this challenge by investing heavily in waterflood management and performance evaluation. Particularly, a dedicated effort was made to develop the company's enterprise information architecture and create a purpose-built online waterflood management tool (WMT). All Salym geological, completion, production and well status data is automatically quality-checked, stored and updated in an integrated waterflood database and made accessible through the WMT. The WMT provides a wide range of functionality for data visualization, performance diagnostics and analysis. Furthermore, it is coupled to a full-field surveillance simulation model, which auto-updates with new oilfield data as it becomes available and outputs streamlines, well allocation factors, maps of remaining oil distribution and pattern-and block-level calculated properties.These technologies have enabled the development and implementation of a structured methodology for waterflood performance evaluation that involves systematic assessment of blocks of 20-50 wells in the form of an Annual Field Review (AFR) followed by a series of deep-dive Integrated Block Reviews (IBRs). During the AFR, each block is assessed against a set of KPIs and scored and prioritised in terms of its health status and projected recovery shortfall. Based on this prioritisation, blocks are scheduled for review in an IBR during the course of the year. The IBRs focus on individual wells, patterns and reservoirs and during the reviews concrete well, reservoir and facilities management (WRFM) opportunities are identified to address performance gaps and sweep or accelerate remaining oil. These opportunities are captured in an online opportunity register coupled to an online database for workover strategy preparation.The framework of technologies and processes presented in this paper was instrumental in planning and executing over 260 WRFM activities (not including simple pump change-outs) across the Salym fields in 2014, delivering in excess of 3.2 Mln bbls of in-year oil production.

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Section: Well and Reservoir Data Acquisitionmentioning

confidence: 99%

Advanced Data-Driven Performance Analysis For Mature Waterfloods

Mijnarends¹,

Frolov²,

Grishko³

et al. 2015

Day 2 Tue, September 29, 2015

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“…The daily report consists of individual well daily gas flows and the flare gas flow as estimated by subtracting sales gas, inection gas and utility gas from the total well gas flow estimates. 3,4,5,6,7,8). For all of this large installed base FW PU is already automatically and continuously estimating gas flows for all of the wells.…”

Section: Case Study 4 -Continuously Estimating Gas Emissions To the Amentioning

confidence: 99%

Continuous Energy Efficiency and Green House Gas Emission Surveillance and Control

et al. 2011

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The purpose of this paper is to document Shell's experiences and learnings in the effort to better track and reduce Green House Gases (GHG) and improve Energy Efficiency in our downstream manufacturing and upstream production operations. The paper is based on Case Studies from various Operating Units in Shell upstream and downstream operations, as well as outlining further development plans.In Shell operations we seek to minimize GHG emissions by continuously monitoring, displaying and reporting associated Key Performance Indicators (KPI's) and quickly alerting operators of changes to trigger remedial intervention. Reduction of GHG emission is also achieved by improving cross validated and mass balanced tracking of our process streams. This ensures that manufacturing and production processes are operated efficiently and transparently.Continuous GHG monitoring also allows automatic compilation of emissions by source which can then be automatically reported as part of the normal daily reporting cycle. The resulting emissions figures and associated KPI's are then prominently displayed in the Daily Production Report. The daily emissions totals are also stored and trended to flag more subtle and/or gradual changes. In this way GHG emissions data and performance information are made available to operations staff and management to facilitate awareness and corrective actions when appropriate.

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Remote Monitoring and Production Optimisation in Shell

et al. 2010

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With the advancement of technology, fields are increasingly monitored in real time, remotely from the office. This applies to wells and facilities alike. Shell has applied a range of capabilities across the assets worldwide. The capabilities include: –Real time monitoring and optimisation of wells–Virtual metering–ESP surveillance - real time monitoring and remote control–Advanced Rotating Equipment monitoring–Integrated Production System Modelling–Collaborative Work Environments for integrated decision making The paper describes how these techniques are used in Shell's operations. They enable asset staff to deal with a wider range of issues faster and more efficiently while bringing global expertise as required in near real time. This involves integration across a range of disciplines, for fast and effective decision making.

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Less Footprints in the Snow for Salym Field in Western Siberia

Cited by 11 publications

References 4 publications

Advanced Data-Driven Performance Analysis For Mature Waterfloods

Advanced Data-Driven Performance Analysis For Mature Waterfloods

Continuous Energy Efficiency and Green House Gas Emission Surveillance and Control

Remote Monitoring and Production Optimisation in Shell

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