This report is part of a program presently sponsored by Atlantic Richfield Hanford Company (ARHCO) to assess the type of environmental 0 information needed by decision-makers and the public to evaluate the environmental impact of a given project. Environmental. impact statements grew out of public concern for environmental quality. These statements evaluate the possible degradation of the environment as a result of human actions. Such statements are supposed to help everyone concerned select those options that will allow optimal use of the environment. An ideal environmental assessment would tell the decision-makers all they need to know to evaluate the conse-0 quences of a proposed project. This information must• be supplied by technical staff concisely, completely, and with great clarity. The following series of papers is the result of cooperative studies by personnel from BCS Richland, Inc. and ARHCO exploring ways of summarizing dlld presenting environmental data. The concept ihtroduced in these papers involves parameters known as "arrival distributions." These quantities define in simple terms how much of a contaminant ., reaches a specific point at a specific time. We hope these "arrival distributions" will help communicate environmental information effectively to decision-makers and the public. However, environmental impact statements cannot simply summarize information; they must be active, not passive. Therefore, the "arrival distributions" should be combined with cost-benefit analyses and scenarios depicting the consequences of various actions to allow decision-makers and the public to see all the options prior to implementation of a pro-Il. ject. Used in this way, environmental impact statements can be an effective tool for minimizing environmental abuse and maximizing environmental utilization.

TX 75083-3836, U.S.A., fax 01-972-952-9435. AbstractOptimum management of oil and gas reservoirs is a continuous, iterative process which encompasses monitoring the reservoir, interpreting the monitoring data, and deciding from the results how best to continue reservoir development and executing those decisions. Monitoring data vary widely in time and space scales.Temporally, they range from continuous to infrequent, episodic measurements; spatially, they range from local well-centric to global reservoir measurements.The reservoir management workflow similarly operates at multiple, parallel time-space scales. A "fast" workflow loop handles continuous well and surface network data (e.g. pressure, temperature, and rate), using fast data handling and fast decision-making to optimize hydrocarbon delivery. A "slow" workflow loop assimilates episodic reservoir data (e.g. time-lapse seismic and borehole reservoir measurements) to optimize reservoir drainage.Reservoir monitoring data are assimilated at the most appropriate time into the reservoir shared earth model, which feeds both the "fast" and "slow" workflow loops. A continuing industry challenge is to determine the best way to do this, since the types of monitoring data are diverse and the volume of data to assimilate is often vast.This paper begins with a review of reservoir monitoring data that are available today, with a focus on the range of time-space scales. A reservoir management workflow is introduced which has multiple time scales appropriate for these data. The paper concludes with a review of key challenges: (1) to develop improved interpretation technologies to unify and integrate the fast well-network centric and slow reservoir-centric workflow loops for faster conversion of measurement signals into information, and (2) to provide fuller support for uncertainties, including determining how the level of uncertainty in the reservoir model changes when assimilating monitoring data.

The purpose of this paper is to describe how the Level B Water Resources Planning Process was applied to Long Island Sound and the land area around it, to summarize the major findings and recommendations of the study and to comment on the effectiveness of that process and suggest how it might be made more effective in the future.

A new wireline combination tool called PLATFORM EXPRESS integrates sensors traditionally used for formation evaluation into a short, highly reliable and efficient wireline logging system. The sensors of the conventional triple combination logging string (density, neutron, resistivity and auxiliary logs) have been upgraded, re-packaged and re-engineered into a combination tool which is less than half as long, can be logged twice as fast and delivers better quality answers. The reengineering of the tool incorporates an accelerometer for real-time depth-matching, and improved pad kinematics for better quality log measurements in poor hole conditions. In the following, we show case studies of the results of PLATFORM EXPRESS logs from the Asia Pacific region, comparing logging times with those of routine operations using conventional technology. A number of example logs are included to illustrate the benefits of the new logging system for improved wellsite data analysis. Introduction One of the objectives of logging is to provide continuous depth-indexed quantitative measurements of formation properties, in order to assist operators in making testing and completion decisions soon after drilling. In the last twenty five years, the combination of density, neutron porosity and resistivity log measurements together with auxiliary curves such as the gamma ray, spontaneous potential and caliper, has become the industry standard evaluation suite. With the introduction of computerized surface equipment and high-speed data transmission these measurements were combined into one logging string, the so-called 'Triple-combo'. Triple-combo's are available as wireline logging combinations or as logging while drilling ("LWD") combinations. In recent years the emphasis in the logging industry has been to improve the accuracy and resolution of individual sensors and to provide yet more combinations. The PLATFORM EXPRESS is a radical departure from this trend. A combination string has been designed from scratch, integrating sensors into a shorter, more robust platform of inter-linked measurements. This change of approach not only yields benefits in terms of compactness and hence operational efficiency, but also generates improvements in data quality and interpretation. P. 415