CN110930020B - Method for determining economic recoverable resource amount of unconventional oil and gas resources - Google Patents
Method for determining economic recoverable resource amount of unconventional oil and gas resources Download PDFInfo
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Abstract
The invention provides a method for determining economic recoverable resource amount of unconventional oil and gas resources. The method comprises a mining area determining step, a parameter obtaining and experimental analysis step, an enrichment area and core area identification step, a well logging grading step and a recoverable resource amount estimation step. Based on objective data obtained by an objective sampling method, identifying an enrichment area and a core area within a target area range according to an analysis result; then, aiming at different areas, different methods for estimating the recoverable resource amount are adopted, and finally, the estimation results are weighted to obtain economic recoverable storage amount data. The technical scheme of the invention eliminates the influence of artificial subjective factors, does not change along with the different experiences of researchers, and has objective and stable whole determination process; by comparing actual mining data, the technical scheme of the invention fully embodies the actual mining rule.
Description
Technical Field
The invention belongs to the technical field of economic resource exploration, and particularly relates to a method for determining economic recoverable resource amount of unconventional oil and gas resources.
Background
Unconventional oil gas refers to oil gas resources which cannot obtain natural industrial yield by using the traditional technology, and can be economically exploited, continuously or quasi-continuously accumulated only by using a new technology to improve reservoir permeability or fluid viscosity and the like. Generally, it can be classified into two major categories, unconventional petroleum resources and unconventional natural gas resources. The former mainly refers to heavy (thick) oil, super heavy oil, deep petroleum and the like, and the latter mainly refers to low-permeability and breathable layer gas, coal bed gas, natural gas hydrate, deep natural gas and inorganic cause oil gas. In addition, combustible gas and petroleum produced after the oil shale is treated by a corresponding chemical process also belong to unconventional oil and gas resources.
Due to the complex geological structure of the reservoir of the unconventional oil and gas resources, the mastered geological exploration and development theory and the conventional oil and gas development technology cannot be completely suitable for the unconventional oil and gas resources, and the development of the unconventional oil and gas resources is still in the initial stage although the reserves of the unconventional oil and gas resources are huge at present.
The economic recoverable reserve refers to the maximum economic oil yield which can be obtained from an oil reservoir under the existing well pattern and process technical conditions. Economic recoverable reserves are important basis for compiling oil field development schemes, scientifically deploying oil and gas production and carrying out comprehensive adjustment.
Oil and gas resource evaluation methods mainly include three categories: analogy method, statistical method and cause method. The Chinese patent with the application number of CN201710050053.8 provides an evaluation method of oil-gas resource quantity of unconventional reservoirs, a hydrocarbon generation thermal simulation experiment is firstly adopted to obtain the gas-oil ratio of residual hydrocarbon in a source, and the rate of the residual gaseous hydrocarbon in the source is calculated by combining the corrected original residual liquid hydrocarbon rate; the problem that the conventional resource evaluation method only can independently evaluate conventional or unconventional oil and gas resources is solved, and a basic geological model is provided for conventional and unconventional resource evaluation; the chinese patent application with application number CN201610764655.5 proposes a resource evaluation method and a resource evaluation system, which are used to solve the technical problems that in the prior art, a resource evaluation method for a certain area is used to analyze a single resource independently, and overall planning and cooperation between resources are lacked.
However, the above evaluation or assessment methods in the prior art all have many human and subjective factors, and do not consider the constraints of objective geological conditions and logging parameters, and the obtained evaluation or assessment results lack stability along with the change of experience or human factors and do not conform to natural rules.
Disclosure of Invention
The economic recoverable resource amount determining method for the unconventional oil and gas resources, provided by the invention, is based on objective sampling data obtained by an objective sampling method, and further identifies an enrichment area and a core area within a target area range according to the result of analyzing the sampling data; then, aiming at different areas, different methods for estimating the recoverable resource amount are adopted, and finally the two methods are weighted to obtain economic recoverable data. The technical scheme of the invention eliminates the influence of artificial subjective factors, does not change along with the different experiences of different researchers, and finally determines that the process is objective and stable; by comparing actual mining data, the technical scheme of the invention fully embodies the actual mining rule.
In a first aspect of the present invention, there is provided a method for determining the amount of economically recoverable resources for unconventional oil and gas resources, the method comprising a mining area determination step, a parameter acquisition and experimental analysis step, an enrichment and core area identification step, a logging ranking step, and a recoverable resource amount estimation step;
the mining area determining step is to preliminarily determine the mining area by adopting a geological condition analogy method according to the existing geological survey data and the geological parameters of the target area with known recoverable resource amount;
in the parameter acquisition and experimental analysis step, a three-dimensional space sampling data point set is acquired in the determined mining area range by adopting a method of combining Gaussian distribution sampling and stratified sampling; carrying out gas content test, organic carbon content test and high-brittleness mineral content test on each sampling data;
as a first innovation point of the method, in the enriching region and core region identification step, according to the gas content test, organic carbon content test and high brittle mineral content test data obtained in the parameter acquisition and experimental analysis step, the enriching region and the core region in the determined mining region are identified;
the logging grading step is to establish a logging evaluation standard aiming at the enrichment region and acquire corresponding logging parameters of the enrichment region, including a gamma parameter, a resistance parameter and a porosity parameter; aiming at the core area, establishing a geological evaluation standard, and obtaining the content proportion of each component, including the content of organic carbon, the content of brittle substances, clay and the content of dark organic rich substances;
as a second innovative point of the present invention, the recoverable resource amount estimation step estimates the recoverable resource amount by using a volume capacity method for the enrichment region; aiming at the core area, estimating the recoverable resource amount by adopting a spatial simulation and probability technology and combining an oil gas gathering log-normal distribution prediction method;
in the determined mining area range, a method combining Gaussian distribution sampling and stratified sampling is adopted to obtain a three-dimensional space sampling data point set, and the method specifically comprises the following steps:
determining two-dimensional ground sampling points (X) in the ground two-dimensional plane of the mining area range by adopting a two-dimensional Gaussian distribution methodi,Yj)；i＝1,2,……，I,j＝1,2,……，J；
Then, taking each ground sampling point as a reference, and adopting a hierarchical sampling method in a preset underground sampling depth to determine a three-dimensional space sampling data point (X)i，Yj，Zh) H is 1,2, … …, H; wherein I, J, H is a positive integer;
specifically, the key technical means adopted for embodying the above creativity include:
sampling data points (X) for three-dimensional spacei，Yi，Zh) Obtaining the gas content test, the organic carbon content test and the high-brittleness mineral content test data (Q)i,Tj,Ch) (ii) a The test data (Q)i,Tj,Ch) Inputting the data into a data processing system of a computer system, and performing the following processing:
for (Q)i,Tj,Ch) If Tj is>5% and Ch>45%, then for the sampled data point (X)i，Yi，Zh)-(Xi+1，Yi+1，Zh+1) And collecting dark shale thickness test data at a plurality of sampling points with different depths in a limited three-dimensional space region, and determining the limited three-dimensional space region as a core region if the collected dark shale thickness test data are all larger than 30 m.
In particular embodiments, wherein for (Q)i,Tj,Ch) If T isj>5% and Ch<45%, then i, j are kept notIncreasing h by 1, and continuously judging whether Ch +1 is more than 45%;
as another preference, j and h can be kept unchanged, i is increased by 1; or keeping i and h unchanged, and increasing j by 1; or a combination thereof;
wherein if Tj>5% and Ch>45% while Tj+1>5% and Ch+1>45%, then the data point (X) will be sampledi，Yi，Zh)-(Xi+1，Yi+1，Zh+1) The defined three-dimensional spatial region is identified as an enrichment zone.
Specifically, as another key technical means, for a core area, the method for estimating the recoverable resource amount by combining a space simulation and probability technology with an oil-gas gathering log-normal distribution prediction method comprises the following steps:
and obtaining the predicted recoverable resource amount under different probability credibility based on different probability credibility.
Aiming at the enrichment area, estimating the amount of the recoverable resource by adopting a volume capacity method, wherein a specific evaluation formula is as follows:
And the step of estimating the recoverable resource amount further comprises weighting the prediction result of the enrichment region and the prediction result of the core region to obtain the estimation result of the recoverable resource amount.
It should be noted that, unlike the prior art processing method in which the sum of the weighting coefficients is simply equal to 1, in the present invention, the sum of the weights of the prediction results of the enriched region and the prediction results of the core region is less than 1. This is because, in the technical solution of the present invention, the target region is not necessarily a simple "rich region + core region", and there are other regions that do not belong to either the rich region or the core region, so as in the prior art, the sum of the weights of the prediction result of the rich region and the prediction result of the core region cannot be configured to be 1, and objective selection and calculation need to be performed according to actual situations, which is a result obtained by repeated comparison by the present inventors;
specifically, the estimation result of the recoverable resource amount is obtained according to the following formula:
wherein N isallFor the estimation result of the amount of recoverable resources, VFIs the volume size of enrichment region, VCThe volume of the core area; n is a radical ofFFor the enrichment zone prediction result, NCAnd predicting the result of the core area.
As can be seen from the above disclosure, the weight coefficients of the prediction result of the enrichment region and the prediction result of the core region are
And
only in this way, artificial weight selection and simple weight selection with a sum of 1 can be avoided.
In another aspect of the invention, there is also provided a data processing system based on three-dimensional spatial sampled data, the data processing system collecting three-dimensional spatial sampled data points (X)i，Yi，Zh) Gas content test, organic carbon content test and high brittle mineral content test data (Q)i,Tj,Ch) Processing to determine the amount of economically exploitable resource.
Furthermore, the above-mentioned method of the present invention can be implemented by a computer program stored in a readable medium, a computer readable medium, a readable optical disc, etc., and thus, there is also provided a computer readable storage medium having stored thereon computer executable instructions for implementing the foregoing method by a processor executing the instructions.
In particular, a computer-readable storage medium is provided, having computer-executable instructions recorded thereon for implementing the method, with a computer system comprising the aforementioned data processing system, executing the computer-executable instructions.
Further advantages of the invention will be apparent from the detailed description of embodiments thereof, which is to be read in connection with the accompanying drawings.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
FIG. 1 is an overall flowchart of the method for determining the amount of economically recoverable resources according to the present application
FIG. 2 is a schematic diagram of a method for combining Gaussian distribution sampling and hierarchical sampling according to the present application
FIG. 3 is a schematic diagram of the identification of an enrichment region and a core region of the present application
FIG. 4 is a diagram of one embodiment of a schematic diagram of a computer instruction implementation of the method of the present application
FIG. 5 is a diagram of another embodiment of a schematic computer instruction implementation of the method of the present application
FIG. 6 is a graph comparing predicted data and actual data from a core region according to the method of the present application
FIG. 7 is a plot of predicted and actual data for an enrichment region versus the methods described herein
DETAILED DESCRIPTION OF EMBODIMENT (S) OF INVENTION
In order that the above objects, features and advantages of the present invention can be more clearly understood, the present invention will be further described with reference to the accompanying drawings and examples. It should be noted that the embodiments and features of the embodiments of the present application may be combined with each other without conflict.
Referring to fig. 1, the method for determining the economic recoverable resource amount of unconventional oil and gas resources according to an embodiment of the present invention includes a mining area determining step, a parameter obtaining and experimental analysis step, an enrichment zone and core zone dividing step, a logging grading step, and a recoverable resource amount estimating step;
and the mining area determining step is to determine the mining area preliminarily by adopting a geological condition analogy method according to the existing geological survey data and the geological parameters of the target area with known recoverable resource amount.
Geologic mapping is one of the methods of geologic prospecting analysis well known in the art. The method is a method for predicting the oil and gas resource quantity by taking certain basin or area with higher exploration degree as an analogy standard, and evaluating a new basin or area through comparison of selected key parameters, or through classification analysis of a large number of parameters of known petroleum zones, or through other multivariate statistical analysis.
In the present embodiment, under the constraint conditions such as the expected mining amount and the economic/technical feasibility budget table, the mining area is preliminarily determined by using the geological condition classification method with reference to other areas similar to the above-described predetermined parameters.
In the parameter acquisition and experimental analysis step, a three-dimensional space sampling data point set is acquired in the determined mining area range by adopting a method of combining Gaussian distribution sampling and stratified sampling; and (4) carrying out gas content test, organic carbon content test and high-brittleness mineral content test on each sampling data.
Referring to fig. 2, a specific implementation form of the step can be that a two-dimensional Gaussian distribution method is adopted to determine two-dimensional ground sampling points (X) in an overground two-dimensional plane of a mining area rangei,Yj)；i＝1,2,……I,j＝1,2,……J；
Then, taking each ground sampling point as a reference, and adopting a hierarchical sampling method in a preset underground sampling depth to determine a three-dimensional space sampling data point (X)i，Yj，Zh) H is 1,2, … …, H; wherein I, J, H is a positive integer.
With further reference to fig. 3, an enrichment area and a core area in the determined mining area are identified according to gas content test, organic carbon content test and high friable mineral content test data obtained in the parameter obtaining and experimental analysis step.
The above steps can be implemented automatically by using instructions in the form of computer flow shown in fig. 4 to 5, and specifically include:
sampling data points (X) for three-dimensional spacei，Yi，Zh) Obtaining the gas content test, the organic carbon content test and the high-brittleness mineral content test data (Q)i,Tj,Ch) (ii) a The test data (Q)i,Tj,Ch) Inputting the data into a data processing system of a computer system, and performing the following processing:
for (Q)i,Tj,Ch) If Tj is>5% and Ch>45%, then for the sampled data point (X)i，Yi，Zh)-(Xi+1，Yi+1，Zh+1) And collecting dark shale thickness test data at a plurality of sampling points with different depths in a limited three-dimensional space region, and determining the limited three-dimensional space region as a core region if the collected dark shale thickness test data are all larger than 30 m.
It should be noted that the organic carbon content test and the high brittle mineral content test data selected in this embodiment are used as the judgment criteria, and are determined by combining the sampling method used in the present invention based on the guidance of the existing engineering survey manual, and are not randomly selected; for example, survey manuals generally recognize that the reservoir of unconventional resources generally has at least three high factors: the organic matter abundance is high, and the organic carbon content is generally more than 2 percent; however, the embodiment of the invention combines the layered sampling and the Gaussian distribution sampling, so that more points are distributed in the actual sampling process, if the index value is adopted by machinery, a plurality of invalid and repeated works are caused, and the final selection is 5% through measurement and calculation by the inventor; other similar indexes are determined by fully considering the manual and the actual situation of the invention.
In the present embodiment, wherein for (Q)i,Tj,Ch) If T isj>5% and Ch<If 45%, keeping i and j unchanged, increasing h by 1, and continuing to judge Ch+1Whether or not it is greater than 45%.
Wherein if Tj>5% and Ch>45% while Tj+1>5% and Ch+1>45%, then the data point (X) will be sampledi，Yi，Zh)-(Xi+1，Yi+1，Zh+1) The defined three-dimensional spatial region is identified as an enrichment zone.
In the above embodiment, for the core region, estimating the recoverable resource amount by using a spatial simulation and probability technique in combination with an oil-gas gathering log-normal distribution prediction method includes:
and obtaining the predicted recoverable resource amount under different probability credibility based on different probability credibility.
Referring to fig. 6, a comparison graph of the core region prediction data and the actual data according to the present embodiment is used.
It can be seen that the actual production values of fig. 6 are all within more than 50% confidence of the predicted recoverable reserves. It is worth noting that the actual production quantities are values at basic production technology conditions, and can be further increased if sufficiently improved, for example, the actual production of crude oil can reach 60.1 with less than 50% confidence, apart from conservative estimates.
It can be seen that the predicted data of the present embodiment is substantially close to the actual data.
Aiming at the enrichment area, estimating the amount of the recoverable resource by adopting a volume capacity method, wherein a specific evaluation formula is as follows:
And finally, the step of estimating the amount of the recoverable resource further comprises weighting the prediction result of the enrichment area and the prediction result of the core area to obtain the estimation result of the amount of the recoverable resource.
Wherein, the estimation result of the resource quantity can be obtained according to the following formula:
wherein N isallFor the estimation result of the amount of recoverable resources, VFIs the volume size of enrichment region, VCThe volume of the core area; n is a radical ofFFor the enrichment zone prediction result, NCAnd predicting the result of the core area.
And the sum of the weights of the prediction results of the enrichment region and the prediction results of the core region is less than 1.
Referring to FIG. 7, a graph comparing predicted data and actual data for the enriched region according to the present embodiment is used.
It can be seen that the predicted data of the present embodiment is substantially close to the actual data and is stable in performance at different time periods.
In fig. 7, the solid line data is characterized as actual production data, and therefore, by the year before the filing of the present application (2018), while the determination method of the present invention predicts sampling from 2015, and the results are compared and the basic and actual collection amounts are consistent. And, the higher the accuracy over time.
It is noted that the prediction data shown in fig. 7 is the corresponding result obtained after each year of execution by the method of the present invention, so that the method of the present invention is not static one-time prediction, but can obtain dynamic prediction set results after different years of execution.
The present invention can be easily implemented by those skilled in the art from the above detailed description. It should be understood, however, that the intention is not to limit the invention to the particular embodiments described. On the basis of the disclosed embodiments, a person skilled in the art can combine different technical features at will, thereby implementing different technical solutions.
Claims (10)
1. A method for determining the economic recoverable resource amount of unconventional oil and gas resources is characterized by comprising the following steps: the method comprises a mining area determining step, a parameter obtaining and experimental analysis step, an enrichment area and core area identification step, a well logging grading step and a recoverable resource amount estimation step;
the mining area determining step is to preliminarily determine the mining area by adopting a geological condition analogy method according to the existing geological survey data and the geological parameters of the target area with known recoverable resource amount;
in the parameter acquisition and experimental analysis step, a three-dimensional space sampling data point set is acquired by adopting a method of combining Gaussian distribution sampling and layered sampling in a determined mining area range;
carrying out gas content test, organic carbon content test and high-brittleness mineral content test on the sampling data of each sampling data point;
the enrichment area and core area identification step is used for identifying the enrichment area and the core area in the determined mining area according to the gas content test, the organic carbon content test and the high brittle mineral content test data which are obtained in the parameter acquisition and experimental analysis step;
the logging grading step is to establish a logging evaluation standard aiming at the enrichment region and acquire corresponding logging parameters of the enrichment region, including a gamma parameter, a resistance parameter and a porosity parameter; aiming at the core area, establishing a geological evaluation standard, and obtaining the content proportion of each component, including the content of organic carbon, the content of brittle substances and the content of clay substances;
the method comprises the following steps of (1) estimating the recoverable resource amount by adopting a volume capacity method aiming at an enrichment area; aiming at the core area, estimating the recoverable resource amount by adopting a spatial simulation and probability technology and combining an oil gas gathering log-normal distribution prediction method;
in the determined mining area range, a method combining Gaussian distribution sampling and stratified sampling is adopted to obtain a three-dimensional space sampling data point set, and the method specifically comprises the following steps:
determining two-dimensional ground sampling points (X) in the ground two-dimensional plane of the mining area range by adopting a two-dimensional Gaussian distribution methodi,Yj)；i＝1,2,……，I，j＝1,2,……，J；
Then, sampling with each groundDetermining three-dimensional spatial sampling data points (X) using a hierarchical sampling method within a predetermined subsurface sampling depth using the points as referencesi，Yj，Zh) H is 1,2, … …, H; wherein I, J, H is a positive integer;
identifying an enrichment area and a core area in the determined mining area according to the gas content test, the organic carbon content test and the high brittle mineral content test data obtained in the parameter obtaining and experimental analysis steps, and the method comprises the following steps:
sampling data points (X) for three-dimensional spacei，Yi，Zh) Obtaining the gas content test, the organic carbon content test and the high-brittleness mineral content test data (Q)i,Tj,Ch) (ii) a The test data (Q)i,Tj,Ch) Inputting the data into a data processing system of a computer system, and performing the following processing:
for (Q)i,Tj,Ch) If Tj is>5% and Ch>45%, then for the sampled data point (X)i，Yi，Zh)-(Xi+1，Yi+1，Zh+1) And collecting dark shale thickness test data at a plurality of sampling points with different depths in a limited three-dimensional space region, and determining the limited three-dimensional space region as a core region if the collected dark shale thickness test data are all larger than 30 m.
2. The method of determining the amount of economically recoverable resources according to claim 1, characterized by:
for (Q)i,Tj,Ch) If T isj>5% and Ch<If 45%, keeping i and j unchanged, increasing h by 1, and continuing to judge Ch+1Whether or not it is greater than 45%.
3. The method of determining the amount of economically recoverable resources according to claim 1, characterized by:
if T isj>5% and Ch>45% while Tj+1>5% and Ch+1>45%, then the data point (X) will be sampledi，Yi，Zh)-(Xi+1，Yi+1，Zh+1) The defined three-dimensional spatial region is identified as an enrichment zone.
4. The method of claim 1, wherein:
aiming at a core area, the method adopts a space simulation and probability technology combined with an oil-gas gathering log-normal distribution prediction method to estimate the recoverable resource quantity, and comprises the following steps:
and obtaining the predicted recoverable resource amount under different probability credibility based on different probability credibility.
5. The method of claim 1, wherein:
aiming at the enrichment area, estimating the amount of the recoverable resource by adopting a volume capacity method, wherein a specific evaluation formula is as follows:
wherein V is the volume of the three-dimensional space of the enrichment region, C is the average value of the test data of the content of the high-brittleness minerals in the three-dimensional space of the enrichment region, and BCIIs a volume factor.
6. The method of any one of claims 1-5, wherein:
the step of estimating the recoverable resource amount further comprises weighting the prediction result of the enrichment area and the prediction result of the core area to obtain the estimation result of the recoverable resource amount.
7. The method of claim 6, wherein:
the estimation result of the recoverable resource amount is obtained according to the following formula:
wherein N isallFor the estimation result of the amount of recoverable resources, VFIs the volume size of enrichment region, VCThe volume of the core area; n is a radical ofFFor the enrichment zone prediction result, NCAnd predicting the result of the core area.
8. The method of claim 6, wherein:
the sum of the weights of the prediction results of the enrichment region and the prediction results of the core region is less than 1.
9. A data processing system based on three-dimensional space sampling data is characterized in that:
three-dimensional spatial sampling data points (X) acquired by the data processing system according to the method of any one of claims 1 to 8i，Yi，Zh) Gas content test, organic carbon content test and high brittle mineral content test data (Q)i,Tj,Ch) Processing to determine the amount of economically exploitable resource.
10. A computer-readable storage medium having computer-executable instructions recorded thereon, the storage medium characterized by:
executing the computer-executable instructions with a computer system comprising the data processing system of claim 9 for implementing the method of any one of claims 1-8.
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