Powered by OpenAIRE graph
Found an issue? Give us feedback
addClaim

Fundamental Testing and Production Surveillance

Authors: C.J. Merryman;

Fundamental Testing and Production Surveillance

Abstract

American Institute of Mining, Metallurgical, and Petroleum Engineers, Inc. This paper was prepared for the 42nd Annual Fall Meeting of the Society of Petroleum Engineers of AIME, to be held in Houston, Tex., Oct. 1–4, 1967. Permission to copy is restricted to an abstract of not more than 300 words. Illustrations may not be copied. The abstract should contain conspicuous acknowledgment of where and by whom the paper is presented. Publication elsewhere after publication in the JOURNAL OF PETROLEUM TECHNOLOGY or the SOCIETY OF PETROLEUM ENGINEERS JOURNAL is usually granted upon request to the Editor of the appropriate journal provided agreement to give proper credit is made. Discussion of this paper is invited. Three copies of any discussion should be sent to the Society of Petroleum Engineers office. Such discussion may be presented at the above meeting and, with the paper, may be considered for publication in one of the two SPE magazines. Abstract With the changes of automation, increased job responsibilities, greater number of wells per man, and a steadily increasing number of wells under various stages of secondary recovery operations, proper production surveillance has become a major challenge. True, automatic equipment records well production accurately but well test equipment capacity and improvement appraisals still require trained personnel. Engineering duties and, in many cases, reduced engineering manpower may leave an overall testing program foundering. Reservoir engineers continue to rely on reported field tests to guide future programs and expenditures. It is mandatory that tests not only reflect production but be accompanied with proper data to reflect true well capacity. To insure this level of operation the following program is suggested: Continuous training and orientation. Complete test procedure. Adequate test facilities. This program is explained with recommendations for necessary tools and practices. Introduction Well testing may be generally defined as a measurement of production during a given time interval, usually twenty-four hours. Tests are required for the many needs of production evaluation and for allowable proration by regulatory bodies. Actually, well tests are the pulse-beat of our industry, the indicator of change and the warning light defining future needs. Accurate tests represent equity at the unit bargaining table, permit efficient scheduling of work and are basic to sound budget estimates. Improved communications have made it possible to have current data available to everyone concerned and well test results play a greater part in decisions than ever before.

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    1
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!