Abstract
Chevron and Science Applications International Corporation (SAIC) are working together to implement Asset Decision Environments (ADEs) across business units as part of the Chevron i-field™1 initiative. This paper describes lessons learned from the program to date, covering types of ADE, challenges faced, solutions delivered and benefit realized. It goes on to discuss the future development of the ADE concept.
Chevron has explored ADE value and usage through the implementation of different types of environments targeted at different problems, and this paper will outline the logic behind this multi-strand approach, and the benefits delivered. Examples will include Decision Support Centers, collaboration environments, and training environments. As the initial implementations deliver success and collaborative working becomes more widespread, questions are being asked about how far we can go with collaborative working and decision-making. The paper will provide some insight into the vision for the ADE in the future.
This paper will set out practical lessons learned on how to design an ADE to address current problems, deliver value and still remain flexible to developments in the future. It will describe challenges and solutions for many aspects of ADE design and implementation, highlighting issues, solutions and benefits delivered. The paper will share a vision for a multi-functional and multi-asset operational ADE of the future, including key challenges that still need to be resolved.
Decision and collaboration environments are being deployed by companies to address challenges associated with response to real-time data, scarcity of experienced resources, and integration and collaboration between disciplines and locations. This paper provides a Chevron and SAIC perspective on the questions: How can decision environments deliver value, and how might they evolve in the future to deliver more integration and collaboration?
