[en] This paper shows how an expert computer system was developed to correlate two well logs in at least moderately difficult situations. A four step process was devised to process log trace information and apply a set of rules to identify zonal correlations. Some of the advantages and problems with the artificial intelligence approach are shown using field logs. The approach is useful and, if properly and systematically applied, it can result in good correlations

[en] While computing is applied widely in the production segment of the petroleum industry, its effective application is the primary goal of computing management. Computing technology has changed significantly since the 1950's, when computers first began to influence petroleum technology. The ability to accomplish traditional tasks faster and more economically probably is the most important effect that computing has had on the industry. While speed and lower cost are important, are they enough? Can computing change the basic functions of the industry? When new computing technology is introduced improperly, it can clash with traditional petroleum technology. This paper examines the role of management in merging these technologies

[en] Minimizing investment in oilfield development is an important subject that has attracted a considerable amount of industry attention. One method to reduce investment involves the optimal placement and selection of production facilities. Because of the large amount of capital used in this process, saving a small percent of the total investment may represent a large monetary value. The literature reports algorithms using mathematical programming techniques that were designed to solve the proposed problem in a global optimal manner. Owing to the high-computational complexity and the lack of user-friendly interfaces for data entry and results display, mathematical programming techniques have not been given enough attention in practice. This paper describes an interactive, graphical software system that provides a global optimal solution to the problem of placement and selection of production facilities in oil-field development processes. This software system can be used as an investment minimization tool and a scenario-study simulator. The developed software system consists of five basic modules: (1) an interactive data-input unit, (2) a cost function generator, (3) an optimization unit, (4) a graphic-output display, and (5) a sensitivity-analysis unit