Situational Analysis of Complex Offshore Network for Strategizing Sequence for Green Field Development

This paper establishes the approach to strategize the appropriate sequencing and monetization of the green field development through performing situational analysis for the complex offshore facilities to recognize new hydrocarbon molecules. As prudent operator for the complex network its crucial to pursue strategic ideas and innovative concepts to optimize supply demand balance, fulfill contractual obligations to optimize resources to maximize value creation, whilst protecting investment decisions for hydrocarbon monetization for the green field development. It is therefore necessary to implement successful business plans with appropriate sequencing of new fields by robust assessment to decipher the pain points to achieve optimal solution by gaining better understanding of network characteristic, supply distribution and operating envelope for line ups of new green field development. Situational Analysis for the complex offshore system is defined as robust investigation of the surrounding facts/realities to scrutinize the unique features in terms of capabilities, risks, uncertainty, opportunity, and exposures. The approach followed in the paper is the creation of mathematical model for the network/infrastructure embedded with business rules and deployment for evaluation and optimization. This approach is to timely deliver the management decisions for developing sequencing strategy, establishing priority of supply guidelines and allocation principles. This paper describes that a state of art approach which was followed by developing end to end network model by simulation engineers with close collaboration with strategic planning, portfolio optimization and including operations in single platform. The simulation model was further validated and deployed to analyze current network impediments in terms of technical and commercial allocation principles. The modelling approach was kept straightforward and scalable to allow for the future development if any. Analytics of the modelling could assist in gauging the potentials for enhancing system capacity by implementing appropriate reforms to optimize evacuation strategies. Obstacles across system architecture could be estimated and its reconfiguration was planned by means of variations in operating philosophy, alterations in the network assembly with appropriate debottlenecking recommendation. The allocation principles applied during business plans consider the commercial element on initial basis, before instead the physical and technical constraints were evaluated. The results of the allocation were then simulated and reallocated back to relevant demand center with relevant technical constraints of the network. This enabled team to identify the gap for supply/demand and propose solution to address the gap at an enterprise level to be substantial, to build a case whereby monetization of green fields will be necessary. Above methodology describes how by developing an end to end mathematical model that summarizes the microscopic details of a complex offshore system to facilitate on the way to analyze and strategize new field development line-ups. The novelty is with the simulation model built in a single platform, allows a seamless data transfer from various elements such as fields, facilities, pipelines, and terminal and is one stop solution for accessing impediments across architecture The above approach elaborates on result matter approach that steer and advocate on the situational analysis for new field sequencing by ascertaining CAPEX /OPEX optimization that could steer decision of lining up of four new fields within span of two years at appropriate intensity of the network with optimal monetization.