Integrated Interpretation of Interwell Connectivity Using Injection and Production Fluctuations

A method to characterize reservoirs, based on matching temporal fluctuations in injection and production rates, has recently been developed. The method produces two coefficients for each injector–producer pair; one parameter, λ , quantifies the connectivity and the other, τ , quantifies the fluid st...

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Published inMathematical geosciences Vol. 41; no. 1; pp. 81 - 102
Main Authors Yousef, Ali A., Jensen, Jerry L., Lake, Larry W.
Format Journal Article
LanguageEnglish
Published Berlin/Heidelberg Springer-Verlag 2009
Springer
Springer Nature B.V
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Abstract A method to characterize reservoirs, based on matching temporal fluctuations in injection and production rates, has recently been developed. The method produces two coefficients for each injector–producer pair; one parameter, λ , quantifies the connectivity and the other, τ , quantifies the fluid storage in the vicinity of the pair. Previous analyses used λ and τ separately to infer the presence of transmissibility barriers and conduits in the reservoir, but several common conditions could not be easily distinguished. This paper describes how λ and τ can be jointly interpreted to enhance inference about preferential transmissibility trends and barriers. Two different combinations are useful: one is a plot of log ( λ ) versus log ( τ ) for a producer and nearby injectors, and the second is a Lorenz-style flow capacity ( F ) versus storativity ( C ) plot. These techniques were tested against the results of a numerical simulator and applied to data from the North Buck Draw field. Using the simulated data, we find that the F – C plots and the λ – τ plots are capable of identifying whether the connectivity of an injector–producer well pair is through fractures, a high-permeability layer, multiple-layers or through partially completed wells. Analysis of data from the North Buck Draw field shows a reasonable correspondence between τ and the tracer breakthrough times. Of two possible geological models for Buck Draw, the F – C and λ – τ plots support the model that has less connectivity in the field. The wells in fluvial deposits show better communication than those wells in more estuarine-dominated regions.
AbstractList A method to characterize reservoirs, based on matching temporal fluctuations in injection and production rates, has recently been developed. The method produces two coefficients for each injector–producer pair; one parameter, λ , quantifies the connectivity and the other, τ , quantifies the fluid storage in the vicinity of the pair. Previous analyses used λ and τ separately to infer the presence of transmissibility barriers and conduits in the reservoir, but several common conditions could not be easily distinguished. This paper describes how λ and τ can be jointly interpreted to enhance inference about preferential transmissibility trends and barriers. Two different combinations are useful: one is a plot of log ( λ ) versus log ( τ ) for a producer and nearby injectors, and the second is a Lorenz-style flow capacity ( F ) versus storativity ( C ) plot. These techniques were tested against the results of a numerical simulator and applied to data from the North Buck Draw field. Using the simulated data, we find that the F – C plots and the λ – τ plots are capable of identifying whether the connectivity of an injector–producer well pair is through fractures, a high-permeability layer, multiple-layers or through partially completed wells. Analysis of data from the North Buck Draw field shows a reasonable correspondence between τ and the tracer breakthrough times. Of two possible geological models for Buck Draw, the F – C and λ – τ plots support the model that has less connectivity in the field. The wells in fluvial deposits show better communication than those wells in more estuarine-dominated regions.
A method to characterize reservoirs, based on matching temporal fluctuations in injection and production rates, has recently been developed. The method produces two coefficients for each injector -producer pair; one parameter, lambda, quantifies the connectivity and the other, tau, quantifies the fluid storage in the vicinity of the pair. Previous analyses used lambda and tau separately to infer the presence of transmissibility barriers and conduits in the reservoir, but several common conditions could not be easily distinguished. This paper describes how lambda and tau can be jointly interpreted to enhance inference about preferential transmissibility trends and barriers. Two different combinations are useful: one is a plot of log(lambda) versus log(tau) for a producer and nearby injectors, and the second is a Lorenz-style flow capacity (F) versus storativity (C) plot. These techniques were tested against the results of a numerical simulator and applied to data from the North Buck Draw field. Using the simulated data, we find that the F -C plots and the lambda -tau plots are capable of identifying whether the connectivity of an injector -producer well pair is through fractures, a high-permeability layer, multiple-layers or through partially completed wells. Analysis of data from the North Buck Draw field shows a reasonable correspondence between tau and the tracer breakthrough times. Of two possible geological models for Buck Draw, the F -C and lambda -tau plots support the model that has less connectivity in the field. The wells in fluvial deposits show better communication than those wells in more estuarine-dominated regions.
A method to characterize reservoirs, based on matching temporal fluctuations in injection and production rates, has recently been developed. The method produces two coefficients for each injector-producer pair; one parameter, λ, quantifies the connectivity and the other, τ, quantifies the fluid storage in the vicinity of the pair. Previous analyses used λ and τ separately to infer the presence of transmissibility barriers and conduits in the reservoir, but several common conditions could not be easily distinguished. This paper describes how λ and τ can be jointly interpreted to enhance inference about preferential transmissibility trends and barriers. Two different combinations are useful: one is a plot of log(λ) versus log(τ) for a producer and nearby injectors, and the second is a Lorenz-style flow capacity (F) versus storativity (C) plot. These techniques were tested against the results of a numerical simulator and applied to data from the North Buck Draw field. Using the simulated data, we find that the F-C plots and the λ-τ plots are capable of identifying whether the connectivity of an injector-producer well pair is through fractures, a high-permeability layer, multiple-layers or through partially completed wells. Analysis of data from the North Buck Draw field shows a reasonable correspondence between τ and the tracer breakthrough times. Of two possible geological models for Buck Draw, the F-C and λ-τ plots support the model that has less connectivity in the field. The wells in fluvial deposits show better communication than those wells in more estuarine-dominated regions. (PUBLICATION ABSTRACT)
Author Yousef, Ali A.
Lake, Larry W.
Jensen, Jerry L.
Author_xml – sequence: 1
  givenname: Ali A.
  surname: Yousef
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  givenname: Jerry L.
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  givenname: Larry W.
  surname: Lake
  fullname: Lake, Larry W.
  organization: Department of Petroleum and Geosystems Engineering, The University of Texas at Austin
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Cites_doi 10.1137/040607654
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Issue 1
Keywords Capacitance model
Reservoir characterization
North Buck Draw field
Lorenz plot
reservoir rocks
models
hydrocarbons
tracers
permeability
reservoirs
North America
oil and gas fields
fluctuations
interpretation
mathematical methods
injection
flow
fractures
Language English
License CC BY 4.0
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– volume: 9
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  publication-title: SPE Reserv Evalu Eng
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Snippet A method to characterize reservoirs, based on matching temporal fluctuations in injection and production rates, has recently been developed. The method...
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StartPage 81
SubjectTerms Chemistry and Earth Sciences
Computer Science
Earth and Environmental Science
Earth Sciences
Earth, ocean, space
Exact sciences and technology
Fluctuations
Fluids
Geotechnical Engineering & Applied Earth Sciences
Hydrocarbons
Hydrogeology
Injection
Oil wells
Petroleum geology
Physics
Reservoirs
Sedimentary rocks
Statistics for Engineering
Studies
Wells
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Title Integrated Interpretation of Interwell Connectivity Using Injection and Production Fluctuations
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