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™ 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? Introduction Over the past three years, Chevron has been working with Science Applications International Corporation (SAIC) on the design and implementation of various types of Asset Decision Environments (ADEs) across multiple business units. An ADE is Chevron's term for a collaboration environment or decision environment. This paper sets out some of the key features of the ADE program, the design approach, lessons learned and results, and provides some insight into the future direction of the ADE.

TX 75083-3836, U.S.A., fax 01-972-952-9435. AbstractThe Digital Oil Field is rapidly gaining attention within the oil and gas industry. Several oil and gas operators are working to develop their vision for an oil field of the future, testing new technologies, setting up programs and participating in industry events. The vision is an integrated approach allowing more real-time control of asset management. Many different names are used in the upstream industry to describe this trend; Smart Fields, Digital Oil Field, Next Generation Oilfield, Field of the Future, e-field, Instrumented Field and Intelligent Energy. However, there is still uncertainty as to what needs to be done and what value it will actually bring to the industry. Several operators and service companies are transitioning from the initial envisioning and abstract phase to projects creating measurable value for the company. In this paper, Chevron's efforts within the Digital Oil Field domain, including concept, business case, corporate governance, technology development, partnerships, deployment and field experience are presented.

As an industry we often say that we should learn from the lessons of others. This is an example of such a case. The United States Department of Defense is developing the next generation Battlefield of the Future concept, and as a part of that effort they are using gaming technology to create a situational awareness tool for the operating theater. Chevron Corporation and Science Applications International Corporation (SAIC) have teamed to develop a proof of concept using this approach to evaluate its usefulness for operations and simulation/modeling in the oilfield environment, in addition to the proven applicability for training personnel.A virtual model of a Chevron Corporation onshore brownfield asset was developed using a commercially available game development engine. Geospatial information, real-time operational data and organizational knowledge were integrated into the 3dimensional (3-D) models to provide a virtual operating environment. Such an environment would enable operators to virtually 'tour' the fields and prioritize activities before leaving their consoles, and provide engineers a richer understanding of the interaction between wells, facilities, and gathering systems. In addition, by integrating specialized tools (e.g., network optimizers); 'what-if' scenarios can be visually interpreted within the virtual world for easier assimilation and learning. The resulting virtual model also facilitates collaboration functionality due to its inherent support for multiple users (avatars and instant messaging) and the rich 3-D visual capability, making it easy to facilitate field planning activities like well placements, as well as road and facility construction before construction actually starts.Future functionality could include real-time personnel and asset tracking using live global positioning system (GPS) data fed into the 3-D virtual model. This platform can also lead to the development of 'intelligent' workflows based on best practices, which can be refined and captured through the environment, and then guide users through routine troubleshooting and surveillance tasks based on those workflows (guided workflows). The next phase in the evolution of this paradigm is to be able to exercise supervisory control of field facilities through this environment by interfacing with the underlying supervisory control and data acquisition (SCADA) and distributed control system (DCS) systems.A live demo of this proof of concept will be presented along with current findings.