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

Vertical Permeability Measurements Swan Hills Reef Complex

Authors: A.M.H. Gutek; K.K. Clark;

Vertical Permeability Measurements Swan Hills Reef Complex

Abstract

Abstract To obtain accurate data for use in calculating vertical fluid flow within a reservoir, in situ measurements of vertical permeability were conducted on five wells in the South Swan Hills Unit. These measurements quantified the permeability parameters for subsequent model studies of the Light Brown member of the Beaverhill Lake formation. This paper presents a description of the data collection technique employed and the results for the vertical permeability measurements. Included in the discussion is a treatment of the data analysis for a single measurement utilizing: (1) the two techniques presently available in literature (1,2) and (2) a numerical reservoir simulator. Based on the data obtained and the results of the testing as discussed in this paper, it can be concluded that a viable technique is available for measuring vertical permeability. Additional refinements in the field operations associated with this type of pressure testing can be made, but overall a success ratio of 100% should not be expected. The successful application of this type of measurement to relating core analysis data to the needs of an adequate reservoir description should be of interest to any performance study. Introduction Every reservoir engineer has probably recognized that the single, most important contributing factor to a useful simulation is the description of the reservoir being studied. The reservoir description must include permeability values which, will govern the fluid flow within the model. These data are generally obtained from core analysis and may be tailored to reflect information available from pressure transient testing of producing or injection wells. In the case of three dimensional or two dimensional cross sectional studies the vertical as well as the horizontal permeability must be quantified. Since one usually uses point source values for vertical permeability in a heterogenous reservoir. serious consideration must be given to validating the data with in situ measurements. The real question is two-fold, firstly, does the core analysis data reflect the properties of the surrounding reservoir and secondly with what averaging or grouping technique should the core data be treated? It is to the description of successful measurement of vertical permeability that this paper is directed. During on in situ permeability testing program certain knowledge which will assist in subsequent tests within the same reservoir and also apply to other fields can be acquired. The success of such a testing program will reflect the cementing, initial and subsequent completions and stimulation history as well as the heterogeneities inherent to the reservoir in which the wells are located. In this paper, problems encountered during the testing of the five wells in the South Swan Hills Unit are dealt with in some detail. This should provide the reader with "experience factor" type background with which to pursue the design and execution of similar vertical permeability measurements. WELL SELECTION The five wells selected for vertical permeability tests in the South Swan Hills Unit were chosen to reflect a cross section of the reservoir.

  • 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).
    0
    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!
0
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!