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Water injection (WI) to improve oil production and increase reserves had been practiced in Malaysia since 1990s. Currently, around 27 fields are producing with water injection. To better manage these WI fields and gauge the relative performance of these fields, certain Key Performance Area (KPA) and Key Performance Indicators (KPI) were identified. Measurement of these KPA and KPIs serves as a yardstick to compare performance of WI fields and thus provide measures to improve collective performance by promoting replication of best practices and sharing lessons learnt. In the era of digital technology, the periodic measurement of KPA and KPI has been automated using the existing online platform which can remain accessible to all related parties. It provides a platform for data visualization with simple look forward analysis. The WI data is stored in company databank and the performance dashboard can be viewed from existing software. The team managed to overcome the challenges in completing the historical data gap and data hygiene which previously were managed manually and were not integrated. This resulted in historical evaluation of KPAs and KPIs of certain fields. This automation initiative will enable practicing engineers to identify the value leakages and proposed mitigation efforts. Some of the best practices identified such as pipeline pigging optimization, correct biocide dosage, periodic calibration of flow meter and chemical optimization already helped to reduce operating cost in certain WI fields. With these efforts, the company could reduce the operating cost significantly in year 2018. Other than data visualization, the tool provides diagnostic plots such as Hall Plot, Chan's Plot etc. for quick analysis of signs of well/ reservoir health deviations and thus solutions could be provided proactively. On seeing the initial positive results, this tool is being tried for the rest of the WI fields. This paper details how this tool tries to diagnose all sub-optimal areas within various WI project simultaneously, which leads to operational excellence and improvement in oil recovery, by identifying value leakages, providing proactive solutions with replication of thus identified best practices. Additionally, usage of this tool to rank WI performance of different projects can potentially help to initiate competition between different operators for improvement.

Waterflooding through water Injection is one of the most effective secondary method to improve oil recovery. Integrated water injection management comprises managing the performance at the reservoir, the wells and the surface and their interdependencies. Lack of effective management of any of these would pose serious concern on incremental recovery due to water injection. Although, water injection (WI) has been in place for many decades, a comprehensive technique to measure the integrated performance of the water injection due to better subsurface management, and/or well management, and/or surface WIM management is not well-established in the industry. Thus it is very difficult to evaluate and compare overall performance of a WI project with the efficiency of other WI projects. In the current times of limited CAPEX spending, thus a technique is required to evaluate various WI projects under the same yardstick, so as to decide on which project more money need to be spent for better returns. Such yardstick which evaluates each of the WI modules (WIM) of subsurface, wells, facilities WIM helps thus then to consider optimal remedial measures to attain excellence. This paper explains how an easy, doable and effective method to evaluate WI performance was generated with help of Key Performance Indicators of the subsurface, wells and surface facilities for a WI project. This paper reviews the processes which affects the WI performance and identifies Key performance areas (KPA) of influence during Water injection stage. On the basis of merit and impact of each KPA on the overall effectiveness of WI, performance Indexing has been attempted to generate Key Performance Indicators (KPI) in an innovative manner. All KPIs are integrated together with respective weightage factor derived from their individual influence on WI performance into an overall performance indicator. An integrated surface-to-wells-to-subsurface system optimization has been the key consideration during the development of this technique. A worksheet with inbuilt formulae leading to the estimation of all Key Performance Indicators and Overall indicator has been constructed to be used for any WI projects with option of related data inputs. It has been tested on real data of few offshore fields of PETRONAS as sample test and proved to be a valid indicator of WI performance. To test the robustness of the tool it was blind tested by taking out the data of some key injectors in one of the better water flooded reservoirs. This tool has thus proved effective to gauge the performance of a WI project, remains a measure to compare and rank performance with respect to other WI projects. A continuous plot of the KPIs helps to identify the concerned areas for possible improvement. This technique is thus capable of diagnosing all sub-optimal areas within a WI project simultaneously, which when addressed leads to operational excellence and improvement in oil recovery. Recent usage of this tool to rank WI performance of different projects helped to initiate competition between different operators for improvement.