Automation and Standardization to Accelerate Well Delivery and Resource Allocation, in a Complex Field Development

Abstract The development of oil fields are becoming more complex and more challenging as the industry moving away from easy oil, the pursuit of efficiency, reliability, and consistency has become paramount. One strategy that organizations often employ to achieve these goals, especially in complex oil fields development, is automation and standardization of repetitive process. Automation refers to the utilization of technology and software systems to perform tasks and processes with minimal human intervention, improving work quality and Standardization, on the other hand, is the process of establishing uniform templates and guidelines, and specifications across the organization. It aims to create a cohesive framework that ensures consistency in product quality, service delivery, and compliance with KPI's. The convergence of automation and standardization in a complex field represents a transformative project that can redefine how organizations operate. Such projects involve the integration of automated features and the establishment of standardized practices to not only enhance efficiency but also improve quality during planning phase but as well as allowing time to dive deep, react and enhance the end results. Well delivery planning and proposals are fundamental steps in the oil and gas industry, serving as a roadmap for drilling pro jects and providing stakeholders with the information they need to make informed decisions regarding investments and resource allocation. These processes require thorough analysis, attention to detail, and adherence to industry best practices and regulations. Fifteen well planning proposals were selected to implement those automated workflows via existing tool and software with standardized outputs which are relevant to production geology input. The targeted reservoir is a Fluvial system with channelized stratigraphic trap, stacked heterogenous reservoirs. The complexity of the field was captured with range of Models and scenarios. Which later used for the planning the field development. The well selection process had to reflect for the high range of uncertainty and complexity of the reservoir. The implementation trail was led to a time saving by 45%, less iterations between contributes and peer assist and improved work quality. this project was implemented during the business cycle of resource allocation in which the benefits and the values were remarkable. The initiative of automation and standardization will be expanded in future to cover all business cycles in field development, modelling, well planning, end of well report, reservoir management activities and reserve classification and reporting.