Establishing State of the Art Unified Technical Data Center to Harness the Power of Legacy Data for Future Opportunities- An E&amp;P Success Story in Sharjah, UAE

Jain, Siddharth; Hamadi, Masoud Al; Stewart, Neil A.; Khan, Sikandar; Malik, Arshad Nawaz

doi:10.2118/197852-ms

Cited by 5 publications

References 5 publications

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Implementing a Production Performance Management Platform for Better Production Data Management, Improved Surveillance and Forecasting for Mature Fields – A Case Study in Sharjah, UAE

Moustafa¹,

Guillen²,

Jany³

et al. 2020

Day 1 Mon, November 09, 2020

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In production engineering, managing a mature field, where cost and job complexity increases as the reservoirs further deplete, analyzing a vast amount of data from different sources is required to understand the well and reservoir performance on a timely basis. Analyzing the full picture of the production system behavior and planning timely interventions is the key in managing these fields. As the E&P organizations go through the production lifecycle, it is increasingly difficult to keep this data in a structured format and a place where it can be easily accessed by the end users for their day-to-day workflows. More and more production data end up in Excel spreadsheets and other repositories creating what is known as data entropy. Legacy corporate data archives become a bottleneck in efficient production data management as they cannot scale efficiently. On the data analytics side, production and reservoir engineers often rely on Excel spreadsheets or inefficient home-grown systems which restrict their ability to derive more insights from the data. Then there is the collaboration aspect. Emails and shared-drives become the de-facto form of exchanging analysis and data, but these resources are time consuming and error-prone due to misplacement, duplication and different vintage of several data files. It is contradictory that the E&P industry despite its steady advances with digitalization and adoption of the latest technologies such as Artificial Intelligence and Machine Learning (to mention a few) continues to struggle with these fundamental data management issues. The implementation of a robust production data management system and basic analysis workflows are key to enabling effective digital tools and must be a top priority for any oil and gas organization consolidating their digital journey. This paper talks about the success case of implementing a production data management system for the mature assets of a National Oil Corporation, encompassing 37 years of production data from various scattered archives. The implementation of the system was customized to suit the requirement of the end-users to enable maximum utilization and faster adoption of the technology. The conceptualization, implementation, customization and development of this digital transformation initiative along with lessons learnt and future development possibilities is demonstrated in this case study.

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Implementing a Production Performance Management Platform for Better Production Data Management, Improved Surveillance and Forecasting for Mature Fields – A Case Study in Sharjah, UAE

Moustafa¹,

Guillen²,

Jany³

et al. 2020

Day 1 Mon, November 09, 2020

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Successful Implementation of a Digital Production Monitoring Solution Eliminating Data Entropy

Belaid

Sami

Larachiche

et al. 2022

Day 4 Thu, November 03, 2022

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In conventional production management, a lot of production reporting is dependent on the analysis of a vast amount of data from different sources - this is the key to effectively analyze the behavior of the production systems and plan timely interventions. More often than not, as the E&P organizations go through the production lifecycle, it becomes increasingly difficult to keep this data in a structured format and a place where it can be easily accessed by the end users for their day-to-day workflows (Moustafa, et al., 2020). This paper talks about a digital initiative for Sonatrach to automate daily production reporting, provide efficient access to production data and deliver powerful analytical capabilities to end users through role-based information dashboards. The legacy approach to production reporting relied heavily on the Sonatrach staff manually gathering production data through Excel spreadsheets from the seventeen in-country joint ventures (JVs), which consumed significant staff productivity and carried a high potential for erroneous data entries. Moreover, the lack of a structured system of records to store JVs production data restricted the staff's ability to meaningfully collaborate with and contribute their expertise to the JVs. On the other hand, the huge pile up of these Excel spreadsheets created a data entropy and bottlenecked efficient production data management. The digital solution implemented to overcome these challenges involved 1 - Configuration of detailed production information dashboards that enabled all the organizational stakeholders to access actionable information, anytime and from anywhere, 2 - Automation of all the tasks related to manual data handling, 3 - Delivery of a central production data repository (CPDR), which stored all the relevant production data by integrating with JVs source systems and fed production dashboards with the quality data, 4 - Establishment of a technology platform to drive workflows and insight-driven analytics The implementation of this bespoke digital system enabled maximum utilization and faster adoption of the technology. The high degree of automation eliminated the time-consuming efforts and let Sonatrach's staff focus on high value tasks. In addition to that, it resulted in an improved collaboration between them & the JVs and a better utilization of Sonatrach's expertise. The detailed dashboards provided a better oversight of the operations and delivery of the business plans, and a unified database secured the opportunity for advanced analytics and better identification of production enhancements. The new solution, built on an open & scalable architecture, opened the pathways to accommodate additional workflows, business rules, dashboards and new data sources without costly workarounds associated with closed and proprietary systems. As a result, it has proved to be an important cogwheel in Sonatrach's digital transformation journey.

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Generation of a Regional Fluid Database for Gas Condensate Assets in a Thrusted Carbonate Environment of the Northern Emirates

Saradva¹,

Golaco²,

Robert³

et al. 2022

Day 2 Tue, November 01, 2022

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Sharjah National Oil Corporation (SNOC) operates 4 onshore fields, the largest of which has been in production since the 1980's, in addition to over 50 years of exploration activity in the region. The producing fields exhibit a wide range of condensate-gas ratio (CGR) productivity and other properties. The scope of this paper is to discuss how the data from these exploration and development wells was combined to develop a trend of the fluid properties within the Northern Emirates to assist in the Future SNOC activities. A detailed data scouting and processing workflow was undertaken and all available legacy pressure-volume-temperature (PVT) reports were digitized. All available separator recombined samples reports and bottomhole sample reports were compiled into a master database. The well test reports were thoroughly examined to understand the field operations and determine the reliability of the PVT reports while the fluid samples were collected during the well tests. An equation of state was generated for each field using all available information taking into account their production history over 30+ years and the results were then used for the regional PVT study. A distinct trend of CGRs, specific gravity and other reservoir fluid properties were observed which co-related with the formations. These prospects which are spread out all over the Emirate of Sharjah were compared on the same parameters to develop a regional guideline. A regional trend of changing fluid properties was also observed which helps define the fluid properties expected in the Thamama Group formations in the Northern Emirates from any exploration well. The results will assist in determining the valuation of any exploration prospect if it is deemed successful and also plan ahead for the value of the prize. These trends also helped fill in missing data and perform quality control (QC) on older fields where comprehensive lab data was unavailable. In some cases, gas condensate fluid properties were unattainable at the mature stage of the field and this study provided the necessary information to plan enhanced recovery opportunities. This paper aims to be a leading reference for the PVT fluid properties in the complex Thamama Group of the Northern Emirates to support future exploration and development activities. The regional data provides a strong correlation and this information is novel in terms of utilizing legacy data for potential opportunities. The new database also helps QC the dataset of existing PVT reports along with aiding in identifying the sources of hydrocarbon origin in this region.

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Establishing State of the Art Unified Technical Data Center to Harness the Power of Legacy Data for Future Opportunities- An E&P Success Story in Sharjah, UAE

Cited by 5 publications

References 5 publications

Implementing a Production Performance Management Platform for Better Production Data Management, Improved Surveillance and Forecasting for Mature Fields – A Case Study in Sharjah, UAE

Implementing a Production Performance Management Platform for Better Production Data Management, Improved Surveillance and Forecasting for Mature Fields – A Case Study in Sharjah, UAE

Successful Implementation of a Digital Production Monitoring Solution Eliminating Data Entropy

Generation of a Regional Fluid Database for Gas Condensate Assets in a Thrusted Carbonate Environment of the Northern Emirates

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