CN111985735A - Endogenous microbial oil displacement oil reservoir screening and evaluating method - Google Patents

Endogenous microbial oil displacement oil reservoir screening and evaluating method Download PDF

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CN111985735A
CN111985735A CN201910367525.1A CN201910367525A CN111985735A CN 111985735 A CN111985735 A CN 111985735A CN 201910367525 A CN201910367525 A CN 201910367525A CN 111985735 A CN111985735 A CN 111985735A
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修建龙
俞理
黄立信
崔庆锋
马原栋
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Abstract

The invention discloses an endogenous microbial oil displacement oil reservoir screening and evaluating method, which comprises the following steps: 1) determining an evaluation object and collecting related parameters; 2) determining an evaluation parameter system comprising evaluation indexes and weight coefficients of the evaluation indexes; 3) carrying out single index evaluation grading evaluation and multi-index fuzzy comprehensive evaluation on the evaluation parameter system; 4) and comprehensively evaluating the endogenous microbial oil reservoirs according to a comprehensive evaluation grade table to obtain a final adaptability evaluation result. The method can reflect the quality of the oil reservoir more objectively, and the provided suggestion can systematize and quantify the screening and evaluation of the microbial oil displacement oil reservoir, so that the one-sidedness of single-factor evaluation is avoided.

Description

Endogenous microbial oil displacement oil reservoir screening and evaluating method
Technical Field
The invention belongs to the technical field of microbial oil displacement, and particularly relates to a screening and evaluating method for endogenous microbial oil displacement oil reservoirs.
Background
Microbial oil recovery is divided into two forms, exogenous and endogenous: the exogenous microbial oil extraction has good effect, but the injected strains and the oil reservoir endogenous strains have poor synergistic effect, short effective period and higher strain production and construction cost; compared with the prior art, the endogenous microbial oil displacement can better embody four advantages of microbial oil recovery, such as low cost, simple process, environmental protection and wide application range. In addition, because a stable microbial community is formed in the stratum in the later stage of water injection development of a part of oil fields in China, the technology for improving the recovery ratio of the endogenous microbial oil displacement has a wide application prospect in the later stage of oil field development and is the main direction of microbial oil recovery development.
Currently, few studies are made on screening methods for endogenous microbial oil displacement reservoirs. In the same suitable microbial oil displacement reservoir, the influence of the change of different parameters on the oil displacement effect is different, the change of some parameters may cause the comprehensive evaluation value of the endogenous microbial oil displacement reservoir to be greatly changed, and the change influence of other parameters may be small. The water injection development mentioned in the oil reservoir adaptive conditions of the endogenous microorganisms is more than two years, and is actually the requirement on the concentration of the endogenous bacteria. In the method for screening and evaluating the endogenous microbial flooding oil reservoir provided by the Hongkong oilfield institute, although the method comprises oil reservoir parameters and bacterial concentration parameters, the method is essentially single-parameter evaluation and cannot reflect the relative importance of each parameter in the same oil reservoir.
Disclosure of Invention
In order to solve the technical problems, the invention provides an endogenous microbial oil displacement oil reservoir screening and evaluating method, which comprehensively considers various factors with large correlation with evaluation objects to evaluate the factors, is a simple and effective evaluation and decision method, can obtain comprehensive and quantitative evaluation results, avoids one-sidedness of single-factor evaluation, and can provide a basis for correct decision.
In order to achieve the purpose, the invention adopts the following technical scheme:
an endogenous microbial oil displacement oil reservoir screening and evaluating method comprises the following steps:
1) determining an evaluation object and collecting related parameters; the evaluation object can be a block or a well group;
2) determining an evaluation parameter system comprising evaluation indexes and weight coefficients of the evaluation indexes;
3) carrying out single index evaluation grading evaluation and multi-index fuzzy comprehensive evaluation on the evaluation parameter system;
4) and comprehensively evaluating the endogenous microbial oil reservoirs according to a comprehensive evaluation grade table to obtain a final adaptability evaluation result.
The method can reflect the quality of the oil reservoir more objectively, and the provided suggestion can systematize and quantify the screening and evaluation of the microbial oil displacement oil reservoir, so that the one-sidedness of single-factor evaluation is avoided.
Preferably, 7 important indexes (total bacterial concentration, temperature, crude oil viscosity, permeability, formation water mineralization, wax content and crude oil density in produced water) are screened out as evaluation indexes of the microbial flooding oil by combining the application of microbial field tests (including special oil reservoir types such as high temperature, high mineralization, low permeability, high pour point oil, heavy oil and the like) in China and integrating the characteristics of oil reservoir geology and reaction kinetics.
Preferably, an analytic hierarchy process is adopted for determining each index weight coefficient, a 1-9 scale method proposed by Saaty is introduced to form a judgment matrix, and whether weight distribution is credible or not is determined by calculating the maximum feature root of the judgment matrix and the feature vector corresponding to the maximum feature root, calculating the deviation consistency index and the random consistency ratio of the judgment matrix. And respectively determining the weight vectors of 7 evaluation indexes of total bacteria concentration, temperature, crude oil viscosity, permeability, formation water mineralization, wax content and crude oil density in the produced water.
The evaluation coefficient method is a main method for determining functional value in value engineering. The 1-9 scale method not only can clearly evaluate and judge the importance and importance among functions, but also can check and maintain the consistency of the evaluation process.
The weight vector is obtained by calculation as follows:
Figure BDA0002048698230000021
the random consistency ratio CR is 0.086<0.1, and the weight assignment is reliable.
Namely, the weight coefficients of total bacteria concentration, temperature, crude oil viscosity, permeability, formation water salinity, wax content and crude oil density in the produced water are 0.3983, 0.2479, 0.1458, 0.0962, 0.0571, 0.0333 and 0.0213 respectively.
When a block is evaluated, the data of a specific block is not complete, so that 7 single-factor evaluation indexes become 6 or even 5 (generally, the number of the single-factor evaluation indexes cannot be less than five), and the lacking indexes influence the comprehensive evaluation value. To eliminate the effect of this light case, a variable weight method (Von Qihong, King Tree, WuYan, etc.. application of variable weight method in block Overall Profile fuzzy well selection [ J ]. proceedings of Petroleum university (Nature edition), 2002, 26 (4): 45-47.) was used. The variable weight is a method of changing the relative value and the absolute value of the remaining index weights. The following formula illustrates its principle:
Figure BDA0002048698230000031
J is a vacant index label, and indexes with missing evaluation parameters can still be evaluated after being processed by a weight-variable theory, and although the precision is reduced, the theory is simple and is very effective to apply.
The weight coefficient of each index does not need to be recalculated during each calculation, if the evaluation parameter system is not changed, the weight coefficient can be directly quoted, and if the target evaluation system lacks some parameters, the weight coefficient needs to be recalculated and obtained according to a variable weight principle.
In the screening and evaluating method for the endogenous microbial oil displacement oil reservoirs, the evaluation and grading evaluation of the single indexes is classified by adopting an expert scoring method.
In the screening and evaluating method for the endogenous microbial oil displacement oil reservoirs, the multi-index fuzzy comprehensive evaluation utilizes the index weight coefficient to perform weighting operation to obtain comprehensive evaluation parameters, and further obtain a comprehensive evaluation result.
In the screening and evaluating method for the endogenous microbial oil displacement oil reservoirs, the comprehensive evaluation grade table of the endogenous microbial oil reservoirs is divided into three grades: the grade I is suitable for temperature, bacterial concentration and viscosity, and the comprehensive evaluation parameter is 0.8-1; in the II level, although each factor of the oil reservoir has a certain influence on the growth of microorganisms, the factor can be overcome by adjusting a scheme and a process, and the comprehensive evaluation parameter is 0.6-0.8; and the grade III is low in temperature, bacterial concentration and viscosity coincidence degree, so that the endogenous microorganism oil extraction test cannot be directly carried out, and the comprehensive evaluation parameter is less than 0.6.
The method comprehensively considers each factor with larger relevance to the evaluation object to evaluate the evaluation object, is a simple and effective evaluation and decision method, can obtain comprehensive and quantitative evaluation results, avoids one-sidedness of single-factor evaluation, and can provide a basis for correct decision.
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FIG. 1 shows the results of trace monitoring of the microbial concentration in the panel Q test area in example 1 of the present invention.
FIG. 2 is a production curve of the test block Q of example 1.
Detailed Description
In order to more clearly illustrate the invention, the invention is further described below in connection with preferred embodiments. It is to be understood by persons skilled in the art that the following detailed description is illustrative and not restrictive, and is not to be taken as limiting the scope of the invention.
Example 1
The method for evaluating the endogenesis microbial flooding adaptability of a certain block Q of the Xinjiang oil field comprises the following specific steps:
1. determining an evaluation object as a block Q and collecting related parameters:
oil reservoir temperature of 39 ℃ and oil reservoir permeability of 123 multiplied by 10-3μm2Crude oil density 0.862g/cm3Crude oilViscosity of 5.6 mPas, wax content of 4 percent, stratum water mineralization of 8450mg/L and total bacterial concentration of 104one/mL.
2. Determining an evaluation parameter system:
the evaluation comprehensive parameters comprise 7 important indexes, a variable weight principle is not required to be applied, and the weight coefficients are as follows:
Figure BDA0002048698230000042
namely, the weight coefficients of total bacteria concentration, temperature, crude oil viscosity, permeability, formation water salinity, wax content and crude oil density in the produced water are 0.3983, 0.2479, 0.1458, 0.0962, 0.0571, 0.0333 and 0.0213 respectively.
3. Single index evaluation grading evaluation and multi-index fuzzy comprehensive evaluation:
the evaluation system of the single index is shown in table 1, and the evaluation grades are "suitable", "more suitable", "general" and "unsuitable" in order from high to low according to the score of the single factor. Taking the temperature index as an example, the temperature is one of the most important factors influencing the activity of the microorganisms, mainly influencing the growth and the reproduction speed of the microorganisms, inhibiting the growth and the reproduction of the microorganisms when the temperature is too high or too low, and determining the four grades by revising the growth temperature of the microorganisms in the oil reservoir and the existing oil reservoir standards. The optimum growth temperature is between 30 and 55 ℃ through the investigation of nearly 50 common oil-producing microorganisms.
The parameters related to oil reservoir screening are divided into three grades, namely suitable, more suitable and not suitable, and the oil reservoir screening method is specifically classified as follows: stage I: the temperature, the bacterial concentration and the viscosity are all suitable, and the comprehensive evaluation parameter is 0.8-1.0; II stage: although having certain influence on growth, the method can be overcome by adjusting a scheme and a process, and the comprehensive evaluation parameter is 0.6-0.8; grade III: the conformity degree of temperature, bacterial concentration and viscosity is low, the endogenous microorganism oil extraction test can not be directly carried out, and the comprehensive evaluation parameter is less than 0.6. The results of the single index evaluation grading evaluation and the multi-index fuzzy comprehensive evaluation of the block Q are shown in Table 2.
TABLE 1 evaluation System for Individual indices
Figure BDA0002048698230000041
Figure BDA0002048698230000051
TABLE 2 evaluation results of single indexes for Q in a certain block
Figure BDA0002048698230000052
The single index evaluation mainly comprises the following steps: firstly, index weight is determined according to the calculation method listed in Table 1. Taking the temperature of 39 ℃ as an example, the index weight in table 1 is 1.0, and the evaluation scale is suitable. The single term is the product of the index weight (1.0) and the weight coefficient (0.2479), namely 0.2479.
4. Comprehensively evaluating the endogenous microorganism according to a comprehensive evaluation grade table of the oil reservoirs:
the temperature, the bacterial concentration and the viscosity are all suitable, the comprehensive evaluation parameter is 0.9404, the comprehensive evaluation result is grade I, and the method is suitable for developing microbial flooding.
After the block Q obtained by screening by the method is used for carrying out field test, under the condition of injecting 0.17 PV (reduced to underground pore volume), oil deposit microorganisms are activated in a large amount, the total concentration of endogenous microorganisms is increased by 2-3 orders of magnitude and reaches up to 108one/mL as shown in FIG. 1. 11 oil wells in the test area all take effect, the cumulative oil increment is 2.98 ten thousand tons, the stage enhanced oil recovery ratio is 4.1 percent, the cumulative oil increment of the central well is 4106 tons, and the oil recovery ratio is enhanced by 5.5 percent, as shown in figure 2.
Example 2
The method for evaluating the endogenesis microbial flooding adaptability of a certain block L in the Daqing oil field by utilizing the aspect of the invention comprises the following specific steps:
1. Determining an evaluation object as a block L and collecting related parameters:
the oil reservoir temperature is 69 ℃, and the oil reservoir permeability is 87 multiplied by 10-3μm2Density of crude oil0.838g/cm3Crude oil viscosity of 10.7 mPas, wax content of 24.8 percent, stratum water mineralization of 1982mg/L and total bacterial concentration of 101one/mL.
2. Determining an evaluation parameter system:
the evaluation comprehensive parameters comprise 7 important indexes, a variable weight principle is not required to be applied, and the weight coefficients are as follows:
Figure BDA0002048698230000062
3. single index evaluation grading evaluation and multi-index fuzzy comprehensive evaluation:
the results of the single index evaluation and the comprehensive evaluation are shown in Table 3;
TABLE 3 evaluation results of single index for a certain block L
Figure BDA0002048698230000061
Figure BDA0002048698230000071
4. Comprehensively evaluating the endogenous microorganism according to a comprehensive evaluation grade table of the oil reservoirs:
the temperature, the bacterial concentration and the viscosity are all suitable, the comprehensive evaluation parameter is 0.5362, the comprehensive evaluation parameter is less than 0.6, the evaluation result is III level, and the endogenous microorganism oil extraction test cannot be directly carried out.
Example 3
Taking example 1 as an example, if no bacteria concentration index data exists, six evaluation indexes are respectively temperature, crude oil viscosity, permeability, formation water mineralization, wax content and crude oil density, and the weight coefficient after weight variation is as follows: 0.4120,0.2423,0.1599,0.0949,0.0553,0.0354. The evaluation result of each single index obtained by calculation is not changed, the comprehensive evaluation score is 0.9339, the evaluation grade is still I grade, and as shown in table 4, the evaluation result is similar to the evaluation result of the embodiment 1, and the evaluation method still has high guidance application value.
TABLE 4 evaluation results of Q individual indexes of a certain block (weight-variable calculation)
Figure BDA0002048698230000072
Figure BDA0002048698230000081
It should be understood that the above-mentioned embodiments of the present invention are only examples for clearly illustrating the present invention, and are not intended to limit the embodiments of the present invention, and it will be obvious to those skilled in the art that other variations or modifications may be made on the basis of the above description, and all embodiments may not be exhaustive, and all obvious variations or modifications may be included within the scope of the present invention.

Claims (10)

1. The method for screening and evaluating the endogenous microbial oil displacement oil reservoirs is characterized by comprising the following steps of:
1) determining an evaluation object and collecting related parameters;
2) determining an evaluation parameter system comprising evaluation indexes and weight coefficients of the evaluation indexes;
3) carrying out single index evaluation grading evaluation and multi-index fuzzy comprehensive evaluation on the evaluation parameter system;
4) and comprehensively evaluating the endogenous microbial oil reservoirs according to a comprehensive evaluation grade table to obtain a final adaptability evaluation result.
2. The method for screening and evaluating the endogenous microbial oil displacement reservoir according to claim 1, wherein the evaluation indexes in the step 2) comprise: 7 evaluation indexes of total bacteria concentration, temperature, crude oil viscosity, permeability, formation water mineralization degree, wax content and crude oil density in the produced water.
3. The endogenous microbial oil displacement reservoir screening and evaluating method according to claim 2, wherein a weight coefficient of each evaluation index is determined by adopting an analytic hierarchy process, a 1-9 scale method is introduced to form a judgment matrix, and weight vectors of 7 evaluation indexes, namely total bacteria concentration, temperature, crude oil viscosity, permeability, formation water mineralization, wax content and crude oil density, in produced water are respectively determined by calculating a maximum characteristic root of the judgment matrix and a corresponding characteristic vector thereof.
4. The method for screening and evaluating the endogenous microbial oil displacement reservoir as claimed in claim 3, wherein after the weight vector is determined, the consistency index and the random consistency ratio of deviation of the judgment matrix are calculated to determine whether the weight distribution is credible.
5. The method for screening and evaluating the endogenous microbial oil displacement reservoir according to claim 3, wherein the weight vector is as follows:
Figure FDA0002048698220000011
namely, the weight coefficients of total bacteria concentration, temperature, crude oil viscosity, permeability, formation water salinity, wax content and crude oil density in the produced water are 0.3983, 0.2479, 0.1458, 0.0962, 0.0571, 0.0333 and 0.0213 respectively.
6. The screening and evaluation method for the endogenous microbial oil displacement reservoir as claimed in claim 1, wherein the single index evaluation grading evaluation is classified by an expert scoring method.
7. The endogenous microbial oil displacement reservoir screening and evaluating method according to claim 4, wherein the multi-index fuzzy comprehensive evaluation uses index weight coefficients to perform weighting operation to obtain comprehensive evaluation parameters, and further obtain a comprehensive evaluation result.
8. The method for screening and evaluating the endogenous microbial oil displacement reservoir according to claim 4, wherein in the step 4), the comprehensive evaluation grade table of the endogenous microbial oil reservoir is divided into three grades: i, comprehensively evaluating parameters of 0.8-1; II, comprehensively evaluating parameters of 0.6-0.8; and grade III, the comprehensive evaluation parameter is less than 0.6.
9. The method for screening and evaluating the endogenous microbial oil displacement reservoir as claimed in any one of claims 4 to 8, wherein when the evaluation index is absent, the weight coefficient is obtained by recalculation according to a weight-variable principle.
10. The method for screening and evaluating endogenous microbial oil displacement reservoirs according to claim 9, wherein when the evaluation index is absent, the evaluation index is not less than 5.
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