New Hydraulic Flow Unit Proposal
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An integration of available data to define the geometry geometry, distribution distribution of physical parameters and flow properties flow properties of a petroleum reservoir. Reservoir characterization methodology comprises determining reservoir architecture, establishing fluid-flow trends, constructing reservoir model, and identifying reserve growth potential. A New Approach in Hydraulic Flow Unit Determination and its Application for Prediction of Petrophysical Properties MOHAMMAD IZADI Department of Petroleum Engineering at University of Louisiana at Lafayette MATHEMATICAL MODELING: INTRODUCTION: EXPERIMENTAL INVESTIGATIONS: 1 1 (1 ) (1 ) . gr w s V k S F S (1 ) 1 (1 ) . gr w s V S k F S Approach 1 Approach 2 Routine and Special Core Analysis: 1) Cutting Sample 2) Labeling and drying 3) Measuring Porosity 4) Measuring the permeability 5) Capillary Pressure 6) Relative Permeability 7) XRD test DATA ANALYSIS: ,, w K S Blocks of sandstone cut from Ohio outcrop which is called Brea. Samples are cut in different sizes which is usually 1 and 1.5 inch in diameter and length like drilling bit. Samples are dried in the oven for a day and then labeled. Now, the void space of every plug is measured by porosity machine which are between 17 to 25 %. o measure the ability of porous media for fluid flow e use particular apparatus to flow different luids and calculate the permeability. The common ange for that in sandstone is 50-500 md. In oil reservoirs, there are two phase flowing at the same time and in that case a concept is defined as capillary pressure. It is the difference pressure between two phases and it governs a distribution of phase in the reservoir during the migration. This machine measures the transmissibility of every fluid phase in the reservoir which is called relative permeability and in this case the desired fluid is oil. We need this data to predict the static reservoir model. X-ray diffraction test is conducted for different rocks to identify various mineralogy and concentrations. The main principle is sending rays to the rock and collecting the reflection and predicting the amount of minerals. Conclusio ns: STATEMENT OF THE PROBLEM: Inaccurate reservoir characterization methods causes a huge waste of money such as exploration, drilling costs which eventually results in company bankruptcy. For example, Continental Oil Co lost $4 billion for one dry hole in land and Shell also did $6 billion for one dry hole. Furthermore, it is critically needed to improve the characterization methods. According to EIA( Energy Information Administration) in Eastern Hemisphere : 2001 Exploratory W ells O il w ell D ry w ell G as W ell 39 % 19% 2005 Exploratory W ells D ry W ell O il w ell 49 % 11% 2007 Exploratortw ell D ry W ell O il w ell 19% 44% Estimating Sw Constructing Pc Predict the HFU Do cluster analysis Plot RQI vs Norm.Poro Approaches 1 &2 Reference s: 1) More accurate reservoir characterization methods, less wasting money, more oil recovery 2) More reliable data and experiments, perfect prediction of reservoir properties 1) Reservoir Engineering Laboratory Manual, ULL, Petroleum Engineering Department, 2002. 2) Pictures are the courtesy of Core Laboratories.
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This poster presents some experimental analysis that I have done to validate the new model.
Transcript of New Hydraulic Flow Unit Proposal
An integration of available data to define the geometrygeometry, distribution distribution of physical parameters and flow propertiesflow properties of a petroleum reservoir. Reservoir characterization methodology comprises determining reservoir architecture, establishing fluid-flow trends, constructing reservoir model, and identifying reserve growth potential.
A New Approach in Hydraulic Flow Unit Determination and its Application for Prediction of Petrophysical Properties
MOHAMMAD IZADI
Department of Petroleum Engineering at University of Louisiana at Lafayette
MATHEMATICAL MODELING:
INTRODUCTION:
EXPERIMENTAL INVESTIGATIONS:
1 1
(1 ) (1 ).grw s V
k
S F S
(1 )1
(1 ).gr
w
s V
Sk
F S
Approach 1
Approach 2
Routine and Special Core Analysis:
1) Cutting Sample
2) Labeling and drying
3) Measuring Porosity
4) Measuring the permeability
5) Capillary Pressure
6) Relative Permeability
7) XRD test
DATA ANALYSIS:
, , wK S
Blocks of sandstone cut from Ohio outcrop which is called Brea.
Samples are cut indifferent sizeswhich is usually 1 and 1.5 inch in diameter and length like drilling bit.
Samples are dried in the oven for a day and then labeled.
Now, the void space of every plug is measured by porosity machine which are between 17 to 25 %.
To measure the ability of porous media for fluid flowwe use particular apparatus to flow differentfluids and calculate the permeability. The common range for that in sandstone is 50-500 md.
In oil reservoirs, there are two phase flowing at the same time and in that case a concept is defined as capillary pressure. It is the difference pressure between two phases and it governs a distribution of phase in the reservoir during the migration.
This machine measures the transmissibility of every fluid phase in the reservoir which is called relative permeability and in this case the desired fluid is oil. We need this data to predict the static reservoir model.
X-ray diffraction test is conducted for different rocks to identify various mineralogy and concentrations. The main principle is sending rays to the rock and collecting the reflection and predicting the amount of minerals.
Conclusions:
STATEMENT OF THE PROBLEM: Inaccurate reservoir characterization methods causes a huge waste of money such as exploration, drilling costs which eventually results in company bankruptcy. For example, Continental Oil Co lost $4 billion for one dry hole in land and Shell also did $6 billion for one dry hole. Furthermore, it is critically needed to improve the characterization methods.
According to EIA( Energy Information Administration) in Eastern Hemisphere :
2001 Exploratory Wells
Oil well
Dry well
Gas Well
39 %
19%
2005 Exploratory Wells
Dry WellOil well
49 %
11%
2007 Exploratort well
Dry Well
Oil well
19%
44%
Estimating Sw Constructing Pc
Predict the HFUDo cluster analysisPlot RQI vs Norm.Poro
Approaches 1 &2
References:1) More accurate reservoir characterization methods, less wasting money, more
oil recovery
2) More reliable data and experiments, perfect prediction of reservoir properties1) Reservoir Engineering Laboratory Manual, ULL, Petroleum
Engineering Department, 2002.
2) Pictures are the courtesy of Core Laboratories.
