Abstract

The advent of data management made it possible to improve the working conditions, but much remains to be made, because they are many gaps.

Many papers were written to show the need for building a data base and to improve it, because the lack of reservoir information increases oil field investment risk.

It is therefore, essential to allot the funds and time available for data collection in such a manner that this risk is minimized. In a typical production and engineering department approximately 80% of the manhours expended by key technical personnel involve the collection, storage, retrieval and arrangement of data for production reports and engineering studies.

This leaves approximately 20% of available manpower for analysis and recommendation of future production schemes. The success of the petroleum industry relies upon a combination of multi-dimensional reliable information and proper cross-disciplinary techniques, because the erroneous data can mislead the strategic-level decision making and cause operational failures.

Reservoir development involves a dynamic planning process in which future activities are planning process in which future activities are based on an assessment of past and present production performance.

The object of this paper is to outline methods of reducing oil field investment risks by correct allocation of reservoir data collection and evaluation effort.

The systems which will be outlined are basic.

They are intended to provide a framework to which future more rigorous methods of data control can be applied.

Having several years of work in data management, I will want by this paper to bring one more on the improvement and optimisation of a bank of data.

We are concerned with the problem of collecting the right data at the right time and applying it correctly to field development and operations decisions.

A rigorous operations research approach to oil field information handling is beyond the scope of a single paper.

Introduction

During development oil reservoirs in the years 50, the data was noted on the sheet with pen, pencil or typewriter and are stored in each department as he is concerned, in reports and archives boxes.

With increase development reservoir of oil, the data volume was increased, some are archived and the other are stored in various offices.

The information are exchanged by phone, radio, mail between the different services and offices.

With the advent computer science, the pen is replaced by the computer, and data are exchanged with diskette and other means.

A lot of data has been accumulated and stored in various offices and locations. Sometimes mistaken and sometimes deteriorated over time due to bad storage.

Many studies have been carried out with incorrect data or lack of information. Difficulty to find any information, and loss time to search and validate data.

Engineers or technicians found difficulties in collecting data to do a job or a study. Offices closed, absence of the person concerned.

Much data are transferred from one source to another with accumulation of errors.

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