CN114086928B - Multi-thin-layer thick oil effective reservoir classification evaluation method - Google Patents
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Abstract
The invention relates to the technical field of oilfield development, in particular to a multi-thin-layer thick oil effective reservoir classification evaluation method. The method comprises the following steps: selecting multi-thin-layer thick oil effective reservoir evaluation parameters and measuring; drawing an effective thickness contour map of each layer of the multi-thin-layer thick oil effective reservoir, determining the effective thickness spreading type of each layer of the multi-thin-layer thick oil effective reservoir, and assigning different weight values S to different spreading types; calculating the effective reservoir reserves and the percentage of the thick oil of each thin layer; calculating an effective reservoir evaluation index R of each thin layer of thick oil; and establishing a classification evaluation standard of the multi-thin-layer thick oil effective reservoir according to the evaluation indexes of each layer of the multi-thin-layer thick oil effective reservoir. According to the multi-thin-layer thick oil effective reservoir classification evaluation method, the thin-layer thick oil effective reservoir classification evaluation is realized by calculating the thin-layer thick oil effective reservoir evaluation index, and the evaluation result is more objective and is close to reality.
Description
Technical Field
The invention relates to the technical field of oilfield development, in particular to a multi-thin-layer thick oil effective reservoir classification evaluation method.
Background
The victory oil field ceramic group develops a large number of thin-layer thick oil effective reservoirs, the proportion of thin layers to unused reserves is larger and larger, and the evaluation of the quality of multi-thin-layer thick oil effective reservoirs becomes an important work. Important parameters reflecting the effective reservoir of the thin-layer thick oil include oil-containing area, thickness, porosity, permeability, viscosity and the like, but the single parameters are used for evaluating the phenomenon that the evaluation results of the effective reservoir of the thin-layer thick oil are mutually crossed and are not unique.
The research and application of the geophysical technology in the thin layer thick oil evaluation and development work of the region Xingqi platform are carried out by strengthening three-dimensional earthquake, reservoir inversion and other geophysical technologies (the King peng, huang Yuanhui, yang Yandong and the like; the application of the geophysical technology in the thin layer thick oil evaluation and development of the Western concave west slope [ C ]// national special oil and gas reservoir technical seminar 2010.) aiming at the current situations that the oil layer of the Western concave west slope Xingqi platform is wide in oil content distribution range, large in thickness change and unbalanced in use degree. The method effectively guides the evaluation and development work of the thin oil layer of the region Xinglong platform, but has complex operation steps and is not beneficial to popularization.
Disclosure of Invention
Aiming at the problems, the invention provides a novel multi-thin-layer thick oil effective reservoir classification evaluation method, which evaluates multi-thin-layer effective reservoirs by calculating multi-thin-layer thick oil effective reservoir evaluation indexes, comprehensively considers geological variables objectively existing in reservoirs, normalizes the geological variables as much as possible, and classifies multi-thin-layer development blocks of an oil field.
The invention adopts the following technical scheme:
the invention provides a multi-thin-layer thick oil effective reservoir classification evaluation method, which comprises the following steps:
selecting multi-thin-layer thick oil effective reservoir evaluation parameters and measuring;
drawing an effective thickness contour map of each layer of the multi-thin-layer thick oil effective reservoir, determining the effective thickness spreading type of each layer of the multi-thin-layer thick oil effective reservoir, and assigning different weight values S to different spreading types;
calculating the effective reservoir reserves and the percentage of the thick oil of each thin layer;
calculating an effective reservoir evaluation index R of each thin layer of thick oil;
and establishing a classification evaluation standard of the multi-thin-layer thick oil effective reservoir according to the evaluation indexes of each layer of the multi-thin-layer thick oil effective reservoir.
Preferably, the selected multi-thin-layer thick oil effective reservoir evaluation parameters comprise effective thickness, porosity, permeability, oil saturation, crude oil viscosity, crude oil density, volume coefficient and net-hair ratio.
Preferably, the spread type includes potato-like distribution, strip-like distribution, sheet-like distribution.
Preferably, the calculation formula of the reserves of each layer of the multi-thin-layer thick oil effective reservoir is as follows:
N＝100×A×h×Φ×S o /B o ×ρ
wherein: a-oil containing area, km 2 The method comprises the steps of carrying out a first treatment on the surface of the h-effective thicknessM; phi-effective porosity,%; s is S o -original oil saturation,%; b (B) o -crude oil volume coefficient; ρ -average ground degassing crude oil density, g/cm 3 The method comprises the steps of carrying out a first treatment on the surface of the N-crude oil quality geological reserves, 10 4 t。
Preferably, the calculation formula of the percentage of the effective reservoir reserves of each thin layer of thick oil is as follows:
P i ＝N i /(N 1 +N 2 +…+N n )×100
wherein: p (P) i -i layer reserves in percent of total reserves; n-multiple thin layer effective reservoir number.
Preferably, the thin-layer thick oil evaluation index Ri is calculated as:
R i ＝P i ×K i /μ i ×S i ×NTG i
wherein: r is R i -i layer thick oil evaluation index, dimensionless; p (P) i -i layer reserves as a percentage of total reserves, dimensionless; k (K) i -i layer permeability, mD; mu (mu) i -i layer viscosity, mpa.s; s is S i -i layer of thick oil effective reservoir spread type, dimensionless.
Preferably, the thin-layer thick-oil effective reservoirs are sequentially divided into categories I, II and III according to quality according to the thick-oil evaluation index R.
Further preferably, when R is more than or equal to 2.5, the method is a class I thin layer thick oil effective reservoir; when R is more than or equal to 1 and less than 2.5, the reservoir is an effective reservoir of II-class thin-layer thick oil; and when R <1 > is a III-class thin-layer thick oil effective reservoir.
Compared with the prior art, the invention has the following advantages:
according to the multi-thin-layer thick oil effective reservoir classification evaluation method, the multi-thin-layer thick oil effective reservoir classification evaluation is realized by calculating the thin-layer thick oil effective reservoir evaluation index. Compared with the prior single factor evaluation method using reserves, average physical properties and the like, the method of the invention is closely combined with production practice, overcomes subjectivity, obviously enhances scientificity, has clear operation steps, and more scientifically and reasonably guides the effective development of multi-thin-layer thick oil fields.
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The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the invention.
FIG. 1 is a flow chart of a multi-lamellar thick oil effective reservoir classification evaluation method according to an embodiment of the invention.
Detailed Description
It should be noted that the following detailed description is exemplary and is intended to provide further explanation of the invention. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of exemplary embodiments according to the present invention. As used herein, the singular forms also are intended to include the plural forms unless the context clearly indicates otherwise, and furthermore, it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, and/or combinations thereof.
In order to enable those skilled in the art to more clearly understand the technical scheme of the present invention, the technical scheme of the present invention will be described in detail with reference to specific embodiments.
As shown in fig. 1, fig. 1 is a structural diagram of the multi-thin-layer thick oil effective reservoir classification evaluation method of the present invention.
Step 101, selecting multi-thin-layer thick oil effective reservoir evaluation parameters, namely effective thickness h, porosity phi, permeability K and oil saturation S o The viscosity mu of the crude oil, the density rho of the crude oil and the volume coefficient B o Net to gross ratio NTG.
Phi-porosity%
K-permeability, mD;
S o -oil saturation, dimensionless;
mu-viscosity of crude oil, mPa.s;
rho-crude oil Density, g-cm 3 ；
B o -a volume coefficient, dimensionless;
NTG-net-to-gross ratio, dimensionless;
step 102, drawing an effective reservoir thickness contour map of each thin thick oil, and dividing the effective reservoir spreading types S of the thin thick oil according to the distribution form of the effective reservoir thickness contour map of each thin thick oil, wherein three types are generally divided: potato-like distribution, strip-like distribution, and sheet-like distribution; potato-like distribution s=0.17; stripe distribution s=0.33; sheet profile s=0.5;
step 103, the calculation formula of the reserves of each layer of the thin-layer thick oil effective reservoir is as follows:
N＝100×A×h×Φ×S o /B o ×ρ
wherein: a-oil containing area, km 2 ；
h-effective thickness, m;
phi-effective porosity,%;
S o -original oil saturation,%;
B o -crude oil volume coefficient;
ρ -average ground degassing crude oil density, g/cm 3 ；
N-crude oil quality geological reserves, 10 4 t。
The calculation formula of the percentage of each reserve of each thin-layer thick oil effective reservoir is as follows:
P i ＝N i /(N 1 +N 2 +…+Nn)×100
wherein: p (P) i -i layer reserves as a percentage of total reserves, dimensionless; n-multiple thin layers effective reservoir number, dimensionless.
Step 104, calculating an evaluation index Ri of each layer of the thin-layer thick oil effective reservoir layer as follows:
R i ＝P i ×K i /μ i ×S i ×NTG
wherein: r is R i -i layer of thick oil effective reservoir evaluation index, dimensionless; p (P) i -i layer reserves as a percentage of total reserves, dimensionless; k (K) i -i layer permeability, mD; the viscosity of the mu i-i layer,mPa.s；S i -i layers of thick oil effective reservoir spread types, dimensionless;
and establishing a multi-thin-layer thick-oil effective reservoir classification evaluation standard according to the evaluation index R of each thin-layer thick-oil effective reservoir. And the effective reservoir of the class I thin-layer thick oil is good, the effective reservoir of the class II thin-layer thick oil is medium, the effective reservoir of the class III thin-layer thick oil is poor, and the evaluation of the multi-thin-layer thick-oil effective reservoir is completed.
In a specific implementation example of the invention, 5-6 thick oil units of the island south-area museum of the island oil extraction factory of the victory oil field are selected, and the classification evaluation method is utilized for classifying and evaluating the multi-thin thick oil effective reservoirs of the 5-6 thick oil units of the island south-area museum of the island oil extraction factory. As shown in table 1, evaluation and division results of multi-thin-layer thick oil effective reservoirs of 5-6 thick oil units in the island south-district of the island oil extraction factory of the victory oil field are shown.
Step 1:
the single well effective thickness h of the island 5-6 thick oil development block is selected, and the number of wells and layers are not exemplified one by one.
Porosity Φ, where Ng53 layer Φ=0.332, ng54 layer Φ=0.322, ng55 layer Φ=0.316, ng56 layer Φ=0.325, ng61+2 layer Φ=0.327, ng63 layer Φ=0.318;
permeability K, where Ng53 layer k=2710 mD, ng54 layer k=2101 mD, ng55 layer k=1859 mD, ng56 layer k=2034 mD, ng61+2 layer k=2105 mD, ng63 layer k=1838 mD;
saturation of oil S o Wherein Ng53 layer S o =0.58, ng54 layer S o =0.58, ng55 layer S o =0.55, ng56 layer S o =0.60, nm61+2 layers S o =0.56, ng63 layer S o ＝0.55；
Crude oil viscosity μ, where Ng53 layer μ=4105 mpa.s, ng54 layer μ=5926mpa.s, ng55 layer μ=5614mpa.s, ng56 layer μ=8717mpa.s, ng61+2 layer μ=8010 mpa.s, ng63 layer μ=9553 mpa.s;
crude oil density ρ, where Ng53 layer ρ= 0.9791g/cm 3 Ng54 layer ρ= 0.9791g/cm 3 Ng55 layer ρ= 0.9815g/cm 3 Ng56 layer ρ= 0.9815g/cm 3 Ng61+2 layers ρ=0.9987 g/cm 3 Ng63 layer ρ=0.9893g/cm 3 ；
Volume coefficient B o ，B o ＝1.060。
Net to gross ratio NTG, where Ng53 ntg=0.775, ng54 ntg=0.775, ng55 ntg=0.821, ng56 ntg=0.816, ng61+2 ntg=0.684, ng63 ntg=0.385;
step 2: compiling an effective thickness contour map of each thin-layer thick oil effective reservoir, dividing thick oil effective reservoir spreading types S according to the distribution form of the effective thickness contour map of each thin-layer thick oil effective reservoir, and dividing three types of distribution types, namely potato-shaped distribution, strip-shaped distribution and sheet-shaped distribution; potato-like distribution s=0.17; stripe distribution s=0.33; sheet profile s=0.5;
where Ng53 layer s=0.33, ng54 layer s=0.33, ng55 layer s=0.33, ng56 layer s=0.5, ng61+2 layer s=0.5, ng63 layer s=0.5.
Step 3: and calculating the geological reserves of each layer of the thin-layer thick oil effective reservoir and the percentage of the reserves occupied by each layer.
Ng53 layer n=54.8×10 4 t, ng54 layer n=38.0×10 4 t, ng55 layer n=68.8x10 4 t, ng56 layer n=137.8×10 4 t, nmg61+2 layer n=95.5×10 4 t, ng63 layer n=76.2×10 4 t。
P Ng53 ＝11.6，P Ng54 ＝8.1，P Ng55 ＝14.6，P Ng56 ＝29.3，P Ng61+2 ＝20.3，P Ng63 ＝16.1。
Step 4: and calculating an effective reservoir evaluation index R of each thin layer of thick oil.
R Ng53 ＝P Ng53 ×K Ng53 /μ Ng53 ×S Ng53 ×NGT Ng53 ＝11.6×2710/4105×0.33×0.775＝1.959
R Ng54 ＝P Ng54 ×K Ng54 /μ Ng54 ×S Ng54 ×NTG Ng54 ＝8.1×2101/5926×0.33×0.775＝0.735
R Ng55 ＝P Ng55 ×K Ng55 /μ Ng55 ×S Ng55 ×NTG Ng55 ＝14.6×1859/5614×0.33×0.821＝1.310
R Ng56 ＝P Ng56 ×K Ng56 /μ Ng56 ×S Ng56 ×NTG Ng56 ＝29.3×2034/8717×0.5×0.816＝2.790
R Ng61+2 ＝P Ng61+2 ×K Ng61+26 /μ Ng61+2 ×S Ng61+2 ×NTG Ng61+2 ＝20.3×2105/8010×0.5×0.684＝1.825
R Ng63 ＝P Ng63 ×K Ng63 /μ Ng63 ×S Ng63 ×NTG Ng63 ＝16.1×1838/9553×0.5×0.385＝0.869
Through calculation of the evaluation indexes of the thin-layer thick oil, an evaluation standard of the multi-thin-layer thick oil effective reservoir is established, the Ng56 layer is a class I thin-layer thick oil effective reservoir, and the evaluation result is good; ng53, ng55 and Ng61+2 layers are II-type thin-layer thick oil effective reservoirs, and the evaluation result is that; the Ng54 and Ng63 layers are III-class thin-layer thick oil effective reservoirs, and the evaluation result is poor. The details are shown in table 1 below.
Table 1 results of evaluation of 5-6 thick oil units in the island south district of the island oil works for multi-thin layer thick oil effective reservoirs
| Division criteria | Horizon layer | Division result |
| Class I thin layer thick oil effective reservoir | Ng56 | Good (good) |
| Class II thin layer thick oil effective reservoir | Ng53、Ng55、Ng61+2 | In (a) |
| Class III thin layer thick oil effective reservoir | Ng54、Ng63 | Difference of difference |
The multi-thin-layer thick oil effective reservoir classification evaluation method is closely combined with production practice, overcomes subjectivity, obviously enhances scientificity and has clear operation steps, thereby avoiding the phenomenon that evaluation results of single index evaluation of multi-thin-layer thick oil effective reservoirs are mutually crossed and are not unique, and providing basis for more scientifically and reasonably optimizing thin-layer thick oil reservoir development.
The above examples are preferred embodiments of the present invention, but the embodiments of the present invention are not limited to the above examples, and any other changes, modifications, substitutions, combinations, and simplifications that do not depart from the spirit and principle of the present invention should be made in the equivalent manner, and the embodiments are included in the protection scope of the present invention.
Claims (3)
1. The multi-thin-layer thick oil effective reservoir classification evaluation method is characterized by comprising the following steps of:
selecting multi-thin-layer thick oil effective reservoir evaluation parameters and measuring;
drawing an effective thickness contour map of each layer of the multi-thin-layer thick oil effective reservoir, determining the effective thickness spreading type of each layer of the multi-thin-layer thick oil effective reservoir, and assigning different weight values S to different spreading types;
calculating the effective reservoir reserves and the percentage of the thick oil of each thin layer;
calculating an effective reservoir evaluation index R of each thin layer of thick oil;
establishing a multi-thin-layer thick oil effective reservoir classification evaluation standard according to each layer evaluation index of the multi-thin-layer thick oil effective reservoir;
the calculation formula of the reserves of each layer of the multi-thin-layer thick oil effective reservoir is as follows:
N＝100×A×h×Φ×S o /B o ×ρ
wherein: a-oil containing area, km 2 The method comprises the steps of carrying out a first treatment on the surface of the h-effective thickness, m; phi-effective porosity,%; s is S o -original oil saturation,%; b (B) o -crude oil volume coefficient; ρ -average ground degassing crude oil density, g/cm 3 The method comprises the steps of carrying out a first treatment on the surface of the N-crude oil quality geological reserves, 10 4 t；
The calculation formula of the percentage of the effective reservoir reserves of the thin-layer thick oil is as follows:
P i ＝N i /(N 1 +N 2 +…+N n )×100
wherein: p (P) i -i layer reserves in percent of total reserves; n-number of multi-lamellar active reservoirs;
the thin layer thick oil evaluation index Ri was calculated as:
R i ＝P i ×K i /μ i ×S i ×NTG i
wherein: r is R i -i layer thick oil evaluation index, dimensionless; p (P) i -i layer reserves as a percentage of total reserves, dimensionless; k (K) i -i layer permeability, mD; mu (mu) i -i layer viscosity, mpa.s; s is S i -i layers of thick oil effective reservoir spread types, dimensionless; NTG (NTG) i -a net wool ratio;
dividing the thin-layer thick-oil effective reservoir into categories I, II and III according to quality in turn according to the thick-oil evaluation index R;
when R is more than or equal to 2.5, the reservoir is an effective reservoir of class I thin-layer thick oil; when R is more than or equal to 1 and less than 2.5, the reservoir is an effective reservoir of II-class thin-layer thick oil; when R <1 is III-class thin-layer thick oil effective reservoir.
2. The multi-thin thick oil effective reservoir classification evaluation method according to claim 1, wherein the selected multi-thin thick oil effective reservoir evaluation parameters comprise effective thickness, porosity, permeability, oil saturation, crude oil viscosity, crude oil density, volume coefficient and net hair ratio.
3. The multi-lamellar thick oil effective reservoir classification evaluation method in accordance with claim 1, characterized in that the spread type comprises potato-like distribution, strip-like distribution, sheet-like distribution.
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| 春风油田浅薄层超稠油油藏高速高效开发关键技术;束青林 等;油 气 地 质 与 采 收 率;第26卷(第3期);第9-19页 * |
| 稠油热采不同开发技术潜力评价;顾浩 等;油 气 地 质 与 采 收 率;第25卷(第3期);第112-116页 * |
| 辽河油田锦99块(兴)稠油储层参数计算方法及应用效果;侯俊胜;物探化探计算技术(01);第34-39页 * |
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