Abstract
The global oil and gas companies are aggressively adopting new digital technologies for process improvement, enhancing safety, reducing asset down time, and reducing overall cost of production to stay competitive. The Digital Oil Field (DOF) is the idea of digitalizing the oil field operations to improve production performance and collaboration both within and outside the organization. This paper discusses the giant leap taken by ONGC towards digitalization of one of its largest deep-water oil and gas field development – the KG-DWN-98/2. Integrated Operations System (IOPS) presently being implemented in ONGC, comprises of data collection and analytics modules, automation tools and collaboration enablers integrated together for streamlined decision-making, easily accessible expertise and safe collaborative co-location of essential personnel. Paper discusses the existing challenges being faced by ONGC in production optimization, asset maintenance and collaboration. IOPS system is proposed as a solution to overcome these challenges. With the help of IOPS, the concept of "Digital-Twin" is introduced in ONGC. The method of developing a digital twin for the entire field from reservoir to separator using existing industry proven software with limited customization are discussed in detail. The methodology adopted for acquiring field data, analysis of the acquired data and utilizing the business intelligence acquired for optimizing production and ultimately leading to business transformation is discussed. The use of advanced digital collaboration environments to effectively utilize the technical expertise located at various geographical locations to solve complex technical issues and provide quick resolution to business problems are discussed in detail. The usage of Big data for predictive analytics to move the decision making from a post event reactive approach to proactive responsive approach is briefly discussed. The functioning of different components of the IOPS system, the interconnection between various analytics modules, the flow of data between modules to form a digital twin of the field and the expected benefits of the system are discussed in detail. The system is expected to improve production uplift by 2 to 3% and reduce the overall OPEX cost by 10 to 20%. The system is expected to increase the Mean Time Between Failures (MTBF) and Mean Time to Repair (MTTR) of the critical assets by enabling Reliability Centered Maintenance (RCM).
