Javascript must be enabled to continue!
Developing a Proficient Relative Permeability Resource From Historical Data
View through CrossRef
Abstract
Having reliable and readily accessible relative permeability information is a problem for many reservoir engineers. In the absence of laboratory measured data or in the case when a more general representation of fluid flow in a reservoir is needed, empirical relative permeability correlations become useful. 416 sets of relative permeability data were obtained from published literature and various industry sources, and were modified to fit a common format. The central database thus constructed allows relative permeability data to be easily retrieved and processed. Categorizing and modifying the original data for applicability to similar systems is considered, allowing for variations in connate water, residual oil, and critical gas saturations. Information such as fluid type, wettability, lithology, geographical location, and method of measurement is used to search applicable results. A linear regression model approach is employed to develop prediction equations for water-oil, gas-oil, gas-water, and gascondensate relative permeability from the measured data. Improved equations were developed for water-oil and gas-oil systems based on formation type and wettability. Additionally, general equations for gas-condensate and gas-water systems were formulated. Craig's rule for determining wettability has been modified to include a wider range of relative permeability data. Available data has increased significantly since the last published work in this area. The prediction equations are compared with previously published correlations. The database and prediction equations may be downloaded at no charge from a University of Missouri-Rolla web site.
Introduction
If a formation contains two or more immiscible fluids, each fluid tends to interfere with the flow of the others. This reduction in the ability of a fluid to flow through a permeable formation is known as the relative permeability effect. Relative permeability, a dimensionless quantity, is the ratio of effective permeability to a base permeability. The effective permeability is a measure of the ability of a single fluid to flow through a rock when the pore spaces of the rock are not completely filled or saturated with the fluid. The base permeability can be absolute air permeability, absolute liquid permeability or effective oil permeability at irreducible water saturation. Relative permeability measurements and concepts become important due to the fact that nearly all hydrocarbon reservoirs contain more than one phase of homogeneous fluid. Relative permeability is a function of fluid distribution, pore geometry, saturation history and wettability1, 2.
Laboratory methods for measuring relative permeability first appeared in 1944. Since then various methods of measuring relative permeability have been developed. In general, these methods can be categorized into two major groups which consist of steady-state and unsteady-state methods. For mixed (intermediate) wettability rocks, steady-state methods are preferred to unsteady-state methods by some researchers3. Unsteadystate methods however, almost always give faster results compared to the steady-state methods due to the nature of processes involved in each method.
Laboratory measurement of relative permeability using either steady-state or unsteady-state methods can be expensive and time consuming. Laboratory measurement is considered a micro process because a single measurement is insufficient to represent the entire reservoir. Therefore several core samples from representative facies in the reservoir must be taken and tested.
Title: Developing a Proficient Relative Permeability Resource From Historical Data
Description:
Abstract
Having reliable and readily accessible relative permeability information is a problem for many reservoir engineers.
In the absence of laboratory measured data or in the case when a more general representation of fluid flow in a reservoir is needed, empirical relative permeability correlations become useful.
416 sets of relative permeability data were obtained from published literature and various industry sources, and were modified to fit a common format.
The central database thus constructed allows relative permeability data to be easily retrieved and processed.
Categorizing and modifying the original data for applicability to similar systems is considered, allowing for variations in connate water, residual oil, and critical gas saturations.
Information such as fluid type, wettability, lithology, geographical location, and method of measurement is used to search applicable results.
A linear regression model approach is employed to develop prediction equations for water-oil, gas-oil, gas-water, and gascondensate relative permeability from the measured data.
Improved equations were developed for water-oil and gas-oil systems based on formation type and wettability.
Additionally, general equations for gas-condensate and gas-water systems were formulated.
Craig's rule for determining wettability has been modified to include a wider range of relative permeability data.
Available data has increased significantly since the last published work in this area.
The prediction equations are compared with previously published correlations.
The database and prediction equations may be downloaded at no charge from a University of Missouri-Rolla web site.
Introduction
If a formation contains two or more immiscible fluids, each fluid tends to interfere with the flow of the others.
This reduction in the ability of a fluid to flow through a permeable formation is known as the relative permeability effect.
Relative permeability, a dimensionless quantity, is the ratio of effective permeability to a base permeability.
The effective permeability is a measure of the ability of a single fluid to flow through a rock when the pore spaces of the rock are not completely filled or saturated with the fluid.
The base permeability can be absolute air permeability, absolute liquid permeability or effective oil permeability at irreducible water saturation.
Relative permeability measurements and concepts become important due to the fact that nearly all hydrocarbon reservoirs contain more than one phase of homogeneous fluid.
Relative permeability is a function of fluid distribution, pore geometry, saturation history and wettability1, 2.
Laboratory methods for measuring relative permeability first appeared in 1944.
Since then various methods of measuring relative permeability have been developed.
In general, these methods can be categorized into two major groups which consist of steady-state and unsteady-state methods.
For mixed (intermediate) wettability rocks, steady-state methods are preferred to unsteady-state methods by some researchers3.
Unsteadystate methods however, almost always give faster results compared to the steady-state methods due to the nature of processes involved in each method.
Laboratory measurement of relative permeability using either steady-state or unsteady-state methods can be expensive and time consuming.
Laboratory measurement is considered a micro process because a single measurement is insufficient to represent the entire reservoir.
Therefore several core samples from representative facies in the reservoir must be taken and tested.
Related Results
Permeability Prediction for Carbonates: Still a Challenge?
Permeability Prediction for Carbonates: Still a Challenge?
Abstract
Permeability estimation for a well and mapping it for a field are extremely critical and difficult tasks in hydrocarbon exploration and production. Diffe...
Oil -Water Relative Permeability Data for Reservoir Simulation Input, Part-I: Systematic Quality Assessment and Consistency Evaluation
Oil -Water Relative Permeability Data for Reservoir Simulation Input, Part-I: Systematic Quality Assessment and Consistency Evaluation
Abstract
The relative permeability concept has been used extensively in reservoir engineering. As numerical reservoir simulation has become more popular as a tool...
Comparative Study on Stress-dependent Permeability of Ultra-low Permeability Sandstone Rock Using Different Types of Fluid Media
Comparative Study on Stress-dependent Permeability of Ultra-low Permeability Sandstone Rock Using Different Types of Fluid Media
Abstract
During the production lifecycle of a reservoir, rock permeability may change due to the increase of the effective stress which could significantly affect...
Oil-Water Relative Permeability Prediction Using Machine Learning
Oil-Water Relative Permeability Prediction Using Machine Learning
Abstract
Relative permeability is one of the most significant reservoir characteristics in the petroleum industry. It captures the fluids behavior inside the porous ...
Rock Permeability Measurements Using Drilling Cutting
Rock Permeability Measurements Using Drilling Cutting
Abstract
The current available equipment used in the laboratory to measure permeability of the core samples is very limited. This is because permeability is measu...
Steady State Bitumen-Water Relative Permeability Measurements At Elevated Temperatures In Unconsolidated Porous Media
Steady State Bitumen-Water Relative Permeability Measurements At Elevated Temperatures In Unconsolidated Porous Media
Abstract
Accurate drainage and imbibition relative permeability data are essential for the accurate prediction of the performance of heavy oil reservoirs undergoi...
Using ML-Supervised Learnings Based-Algorithms to Create a Relative Permeability Model
Using ML-Supervised Learnings Based-Algorithms to Create a Relative Permeability Model
AbstractRelative permeability analysis in the field begins with compiling Special Core Analysis (SCAL) experimental data on core samples. Conventional methods categorize samples by...
Effect of Reservoir Temperature and Pressure on Relative Permeability
Effect of Reservoir Temperature and Pressure on Relative Permeability
Abstract
Relative permeability is a critical parameter for evaluation of gas reservoir performances. Earlier works have indicated that relative permeabilities are ma...

