Data Acquisition and Analysis for Efficient Reservoir Management
- S.H. Raza (Amerada Hess Corp.)
- Document ID
- Society of Petroleum Engineers
- SPE Annual Technical Conference and Exhibition, 23-26 September, New Orleans, Louisiana
- Publication Date
- Document Type
- Conference Paper
- 1990. Society of Petroleum Engineers
- 5.1 Reservoir Characterisation, 1.2.3 Rock properties, 4.1.5 Processing Equipment, 3.3 Well & Reservoir Surveillance and Monitoring, 5.6.1 Open hole/cased hole log analysis, 4.1.2 Separation and Treating, 5.5 Reservoir Simulation, 6.1.5 Human Resources, Competence and Training
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Summary. Timely acquisition of judicious amounts of data and their continual evaluation are foundational to sound reservoir management. To ensure technical success and to avoid economic waste, an experienced multi-disciplinary team should have ongoing responsibility for identifying and acquiring these data from all available sources, assessing their quality and representability, and evaluating (analyzing, reducing, and synthesizing) them properly and consistently.
Reservoir management has been defined in a number of ways. While wordings differ, all the definitions contain the concepts that reservoir management is a continuous process with the aims of depleting resources in a manner that maximizes benefits, advantages, and recovery and judiciously reducing expense of time, manpower, and financial resources. Management is seldom, if ever, simple and straightforward. Reservoir management is further complicated because the variables affecting the described objectives are not totally and clearly understood and described and are often not only time-dependent but also interdependent in a probabilistic manner. Reservoir management is a continuous process from discovery to abandonment, with the objective of depleting a reservoir efficiently and economically. The intensity of this effort seems to increase in proportion to the age and size of the project, its complexity, data availability. and the resulting expected benefits. Effective reservoir management depends on the contributions from multiple sources, which are listed in Fig. 1. These sources contribute their own findings, interpretations , and implications (Table 1) in a manner consistent with the needs of the project. While contributions from geology, reservoir, and production span the life of the project, contributions from exploration and land and legal areas are made at appropriate times.. As Fig. 1 shows, contributions from the various sources are compiled and synthesized throughout the project's life. This mutual exchange of data and their synthesis results in (1) the use of the best current knowledge from multiple sources, (2) cross-relating and crosschecking of information, and (3) discovering of a consistent, coherent, and converging approach to effective reservoir management. All these resources are highly specialized and require professionals with knowledge, skill, and expertise. These professionals from various resources have in the past worked together in the style of a "relay team," forwarding their product to the next resource that, in turn, incorporates its expertise into the product and passes the new product to the next resource, ultimately reaching the resource responsible for the end product. There is now a growing awareness that the "relay team" style should be replaced by a "basketball team" style where all the resources are used in a synergistic mode, capitalizing on the expertise of the right resource(s) at the right time. This style is gaining popularity as the industry explores ways to e waste and to improve efficiency.
Data-Acquisition and Analysis Program
Foundational to efficient reservoir management and to the management of individual resources is a well-formulated and integrated data-acquisition and analysis program that (1) is designed to identify the anticipated and encountered needs; (2) acquires data in a timely manner; (3) is flexible and adaptive to the operational, economic, environmental, and legal circumstances; (4) is tractable and retrievable; and (5) is sensitive to the cost/benefit relationship. Fig. 2 shows a logical, methodical, and sequential data-acquisition and analysis program. Table 2 lists some general observations and useful hints on data analysis. Fig. 2 shows that an efficient data flow program consists of four steps.
Data Planning. A plan is developed by asking the following questions. 1. Why is the plan needed and who is the user? 2. What types of data are required, how much ("must" or "discretionary"), and at what cost? 3. When are the data required? 4. When will the data be used? 5. Who is responsible for data acquisition? This exercise is not easy and requires that the most likely reservoir depletion scenario and its probable alterations/modifications are carefully conceptualized and formulated.
Copyright 1992 Society of Petroleum Engineers
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