CN110780357B - Continental facies compact oil geological dessert determination method, system, computer device and medium - Google Patents
Continental facies compact oil geological dessert determination method, system, computer device and medium Download PDFInfo
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Abstract
The invention provides a continental facies compact oil geological dessert determination method, a continental facies compact oil geological dessert determination system, computer equipment and a medium. The method comprises the following steps: dividing a plurality of vertical sweet point source storage combinations of the continental facies compact oil, and establishing vertical distribution of each source storage combination and the oil content of the compact oil; and acquiring vertical dessert distribution positions of the compact oil according to each vertical distribution, and determining the spatial distribution characteristics of the continental compact oil geological dessert by combining with the plane distribution of the compact oil dessert. According to the method, vertical heterogeneity determination of the compact oil is realized by establishing vertical distribution of each source storage combination and the oil content of the compact oil, vertical distribution characteristics of the compact oil dessert are determined in sections, and spatial distribution of the predicted geological dessert is determined by combining planar distribution of the compact oil dessert, so that the accuracy of determination prediction is improved, and the accuracy and the scientificity of determination prediction of the continental compact oil dessert are realized.
Description
Technical Field
The invention relates to the technical field of petroleum geology research, in particular to a continental facies compact oil geology dessert determination method, a continental facies compact oil geology dessert determination system, computer equipment and a medium.
Background
In the technical field of oil and gas development, unconventional oil and gas gradually become a new field of global oil and gas exploration. In particular, dense oil has become a hot spot in global oil and gas exploration and development. According to EIA prediction: the quantity of resources which can be collected by 42 national compact oil technologies is 473 hundred million tons, the resources are rich, and the exploration and development potential is large. In China, a plurality of compact oil scale reserve areas such as Erdos, Songliao, Pascal and three lagoons are found. However, the exploration and development difficulty of the continental facies compact oil is huge compared with that of foreign marine facies compact oil due to various unfavorable conditions of complex lithology, low reservoir performance, complex basin evolution and the like. Therefore, the determination and prediction of the continental dense oil enriched high-yield geological dessert becomes the key of the exploration and development of dense oil in China.
At present, the research on terrestrial compact Oil is mostly concentrated on the aspects of concept, geological characteristics and enrichment rules, and it is proposed that compact Oil (light Oil) is petroleum (compact Oil national standard, 2012) stored in reservoirs such as compact sandstone, compact carbonate rock, precipitated limestone and accretion rock with overburden matrix permeability less than or equal to 0.1mD (air permeability less than 1mD), and compared with north american compact Oil, it indicates that compact Oil in China has the unfavorable geological characteristics of strong structural activity, limited distribution, lake source rock organic carbon, low maturity, strong reservoir heterogeneity, heavy fluid Oil quality, buried depth difference and the like, and also discloses that high-quality and high-efficiency large-scale distributed hydrocarbon source rock is the basis for forming a compact dessert area, a compact reservoir with relatively good developmental physical properties is the core for forming a compact Oil dessert, and the optimal source storage configuration is the key rule for forming the compact Oil dessert area, and the like. The geological parameters and the method for determining the compact oil favorable area are also provided, and the parameters and the method for determining the compact oil sweet spot favorable area of the high organic carbon (TOC 2%) and the favorable reservoir (porosity) are emphasized.
However, because the terrestrial dense oil enrichment high-yield distribution heterogeneity is strong, the vertical distribution range of the oil-containing dessert reservoir body is limited, the current dense oil favorable area determination method only depends on the plane superposition of static data such as the hydrocarbon generation capacity of source rocks, the reservoir physical properties and the like, and the current method is difficult to accurately determine the matching relationship of different source reservoir combinations and accurately determine the dessert space distribution position.
Disclosure of Invention
The embodiment of the invention provides a method, a system, computer equipment and a medium for determining a continental facies compact oil geological dessert, which are used for solving the problems that the existing method for determining and predicting the continental facies compact oil geological dessert is difficult to accurately determine the matching relation of different source storage combinations and accurately determine the spatial distribution position of the dessert.
In certain embodiments, a continental compacted oil geological dessert determination method, comprising:
dividing a plurality of vertical sweet point source storage combinations of the continental facies compact oil, and establishing vertical distribution of each source storage combination and the oil content of the compact oil;
acquiring vertical dessert distribution positions of the compact oil according to each vertical distribution;
and determining the spatial distribution characteristics of the geological dessert of the continental phase compact oil according to the planar distribution of the compact oil dessert and the vertical dessert distribution position of the compact oil.
In certain embodiments, the partitioning into a plurality of reservoir combinations of vertical sweet spots of land-phase-densified oil comprises:
analyzing the chromatogram-mass spectrum and gas chromatogram of saturated hydrocarbon and/or aromatic hydrocarbon of different sedimentary facies with the dense oil layer in the target area, and determining the characteristics of the dense oil source;
and dividing a plurality of land-phase compact oil vertical sweet point source storage combinations according to the compact oil source characteristics.
In certain embodiments, the establishing a vertical distribution of each source reservoir combination and tight oil oiliness comprises:
generating a distribution function model corresponding to each source storage combination according to the characteristics of each land-phase compact oil vertical sweet point source storage combination and the source storage geological characteristics;
and establishing vertical distribution of each source storage combination and the oil content of the compact oil according to the distribution function model.
In certain embodiments, the distribution function model is determined from fill pressure and oil saturation for each source-reservoir combination and tight source-reservoir fill parameters related to reservoir performance.
In some embodiments, said obtaining a densified oil vertical sweet spot distribution location from each vertical distribution comprises:
and determining indexes according to each vertical distribution and the geology of the target area, quantitatively determining the vertical oiliness of other source storage combinations in the target area, and obtaining the vertical dessert distribution position of the compact oil.
In certain embodiments, the geology determination metric includes:
and (4) determining indexes of the compact oil source rock and the reservoir single-factor geology.
In certain embodiments, the distribution function model is determined from the corresponding source reservoir patterns formed by the delta front, the half-deep lake, the anterior delta sedimentary facies, the dessert portion distribution characteristics, the dense oil biomarker characteristics, and the dessert oil saturation.
In certain embodiments, the source-reservoir combination comprises:
at least one of a thick source clamp and a thin source clamp.
In certain embodiments, a continental compacted oil geological dessert determination system, comprising:
the building module is used for dividing a plurality of vertical sweet point source storage combinations of the continental facies compact oil and building vertical distribution of each source storage combination and the oil content of the compact oil;
the acquisition module is used for acquiring vertical dessert distribution positions of the compact oil according to each vertical distribution;
and the determining module is used for determining the spatial distribution characteristics of the continental phase compact oil geological dessert according to the compact oil dessert plane distribution and the compact oil vertical dessert distribution position.
In certain embodiments, the establishing module comprises:
a dense oil source characteristic determination unit for analyzing the chromatogram-mass spectrum and gas chromatogram of saturated hydrocarbon and/or aromatic hydrocarbon of different sedimentary facies with the dense oil layer in the target area and determining the dense oil source characteristic;
and the dividing unit is used for dividing a plurality of vertical sweet point source storage combinations of the land-phase compact oil according to the compact oil source characteristics.
In certain embodiments, the establishing module comprises:
the distribution function model establishing unit is used for generating a distribution function model corresponding to each source storage combination according to the characteristics of each land-phase compact oil vertical sweet point source storage combination and the source storage geological characteristics;
and the vertical distribution establishing unit is used for establishing the vertical distribution of each source storage combination and the oil content of the compact oil according to the distribution function model.
In certain embodiments, the distribution function model is determined from fill pressure and oil saturation for each source-reservoir combination and tight source-reservoir fill parameters related to reservoir performance.
In some embodiments, the obtaining module quantitatively determines the vertical oiliness of other source-reservoir combinations in the target region according to each vertical distribution and the geological determination index of the target region, and obtains the vertical desserts distribution position of the compact oil.
In certain embodiments, the geology determination metric includes:
and (4) determining indexes of the compact oil source rock and the reservoir single-factor geology.
In certain embodiments, the distribution function model is determined from the corresponding source reservoir patterns formed by the delta front, the half-deep lake, the anterior delta sedimentary facies, the dessert portion distribution characteristics, the dense oil biomarker characteristics, and the dessert oil saturation.
In certain embodiments, the source-reservoir combination comprises:
at least one of a thick source clamp and a thin source clamp.
In certain embodiments, a computer apparatus comprises a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor when executing the program implementing the steps of the above-described continental oil-dense geological dessert determination method.
In certain embodiments, a computer readable storage medium has stored thereon a computer program which, when executed by a processor, performs the steps of the above-described continental compacted oil geological dessert determination method.
The embodiment of the invention provides a continental facies compact oil geological dessert determination method, a system, computer equipment and a medium, wherein vertical heterogeneity determination of compact oil is realized by establishing vertical distribution of each source storage combination and the oil content of the compact oil, vertical distribution characteristics of the compact oil dessert are further determined in a segmented manner, and spatial distribution of the predicted geological dessert is determined by combining planar distribution of the compact oil dessert, so that the accuracy of determination prediction is improved, and the continental facies compact oil dessert determination prediction has accuracy and scientificity.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 shows a flow diagram of a continental oil-dense geological dessert determination method in an embodiment of the invention.
Fig. 2 shows a detailed flowchart of step S1 in fig. 1.
FIG. 3a shows a schematic representation of a characteristic spectrum of rock samples of the lagoon group and the Phragmites communis ditch group in an example of the present invention.
FIG. 3b shows a characteristic map of a compact oil source of a lake group of three lagoons in an example of the present invention.
Figure 4 shows a vertically distributed characteristic of the delta leading edge sweet spot in an embodiment of the invention.
Figure 5a shows a comparison of the oil source at sample point 1 in figure 4.
Figure 5b shows a comparison of the oil source at sample point 2 in figure 4.
Figure 5c shows a comparison of the oil source at sample point 3 in figure 4.
Figure 5d shows a comparison of the oil source at sample point 4 in figure 4.
FIG. 6 shows a plot of the vertical distribution of the flow of sandy debris from the turbid dessert in a semi-deep lake in accordance with an embodiment of the present invention.
Figure 7a shows a comparison of the oil source at sample point 1 in figure 6.
Figure 7b shows a comparison of the oil source at sample point 2 in figure 6.
Figure 7c shows a comparison of the oil source at sample point 3 in figure 6.
Figure 7d shows a comparison of the oil source at sample point 4 in figure 6.
Figure 7e shows a comparison of the oil source at sample point 5 in figure 6.
Fig. 7f shows a comparison of the oil source at sample point 6 in fig. 6.
Figure 7g shows a comparison of the oil source at sample point 7 in figure 6.
Figure 7h shows a comparison of the oil source at sample point 8 in figure 6.
Fig. 7i shows a comparison of the oil source at sample point 9 in fig. 6.
FIG. 8 shows a vertical profile of an anterior delta phase dessert in an embodiment of the present invention.
Figure 9a shows a comparison of the oil source at sample point 1 in figure 8.
Figure 9b shows a comparison of the oil source at sample point 2 in figure 8.
Figure 9c shows a comparison of the oil source at sample point 3 in figure 8.
Figure 9d shows a comparison of the oil source at sample point 4 in figure 8.
Figure 9e shows a comparison of the oil source at sample point 5 in figure 8.
Fig. 9f shows a comparison of the oil source at sample point 6 in fig. 8.
FIG. 10 shows a graphical representation of physical simulation parameter curves for different source-reservoir filling of densified oil in an embodiment of the present invention.
FIG. 11 shows a schematic of the structure of a continental oil-dense geological dessert determination system in an embodiment of the present invention.
Fig. 12 is a schematic diagram showing a specific structure of the building block in fig. 11.
FIG. 13 illustrates a schematic diagram of a computer device suitable for use in implementing embodiments of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The exploration and development of the shale gas in North America are broken through, and the energy safety of America is solved. As one of the key points of unconventional oil and gas development, compact oil has become the bright spot field of global unconventional oil development. China has wide land dense oil distribution range and wide exploration prospect. The geological resource amount of the predicted compact oil is 130 hundred million tons, and the predicted compact oil is distributed in four large basins of Ordos, Songliao, Bohai Bay and Quaszelle, and accounts for 90 percent. Accurate and quantitative determination of predicted desserts becomes a key problem for the scale exploration and development of compact oil. Therefore, in the face of the related problems of complex lithology of the land-phase compact oil, strong heterogeneity of desserts and unclear spatial distribution, development of space quantitative determination and prediction of compact oil desserts becomes a key and difficult point of research.
The "sweet spot" of dense oil essentially has a dense oil geocellular unit of actual exploitation effect under the current economic and technical conditions. The compact oil "dessert" should contain two layers meaning, geologically advantageous reservoir and developer's benefit development. Thus, a compact oil "sweet spot" is a relative, dynamically changing geological reservoir (zone).
With the increasing difficulty of conventional resource exploration and development, unconventional compact oil becomes an important field for the oil and gas resource replacement in China, and for accurately determining and efficiently developing different types of compact oil resources, the spatial distribution characteristics of continental compact oil desserts need to be accurately identified.
An embodiment of the present invention provides a method for determining a continental oil-dense geological dessert, which is shown in fig. 1 and includes:
s1, dividing a plurality of vertical sweet point source storage combinations of the continental facies compact oil, and establishing vertical distribution of each source storage combination and the oil content of the compact oil;
s2, acquiring vertical dessert distribution positions of the compact oil according to each vertical distribution;
and S3, determining the terrestrial compact oil geological dessert space distribution characteristics according to the compact oil dessert plane and the compact oil vertical dessert distribution position.
According to the method for determining the continental facies compact oil geological dessert, the vertical heterogeneity of the compact oil is determined by establishing the vertical distribution of each source storage combination and the oil content of the compact oil, the vertical distribution characteristic of the compact oil dessert is determined in a segmented mode, the spatial distribution of the predicted geological dessert is determined by combining the planar distribution of the compact oil dessert, the accuracy of determination prediction is improved, and the accuracy and the scientificity of determination prediction of the continental facies compact oil dessert are achieved.
Referring to fig. 2, in some embodiments, the step S1 includes:
and S11, analyzing the saturated hydrocarbon and/or aromatic hydrocarbon chromatogram-mass spectrum and gas chromatogram of the saturated hydrocarbon and/or aromatic hydrocarbon of the dense oil layer in different sedimentary facies zones of the target area, and determining the characteristics of the dense oil source.
And S12, dividing a plurality of vertical sweet point source storage combinations of the land-phase compact oil according to the compact oil source characteristics.
In step S11, the oil source comparison is mainly performed by using Pr/Ph values, and relevant parameters of special criteria such as β -carotene (gas chromatography), hopane (m/z 191, chromaticness), and sterane (m/z 217, chromaticness). For example, the compact oil source of the lagoon of the three comparative lagoons in FIG. 3a and FIG. 3b, as can be seen by the typical pattern in the figure, the stripe section P in the rock samples of the lagoon group and the Phragmites communis group2t2The source rock of (2) is characterized in that:
1) Pr/Ph is between 0.9 and 1.4;
2) contains no beta-daucane;
3) lower gamma-paraffins;
4) the tricyclic terpene content is high;
5) c of regular sterane alpha 20R27、C28、C29The three peaks are in asymmetric V-type.
Trigonellae P2I2The source rock of (2) is characterized in that:
1) Pr/Ph is more than 1.0;
2) contains no beta-daucane;
3) substantially free of gamma-cerane;
4) the tricyclic terpene content is low;
5) c of regular sterane alpha 20R27、C28、C29The three peaks are in reverse L form.
The source rock of the reed second segment is characterized in that:
1) Pr/Ph is generally less than 1.0;
2) high beta-daucane content;
3) the content of gamma-cerane is rich;
4) the tricyclic terpene content is low;
5) c of regular sterane alpha 20R27、C28、C29The three peaks are linear.
By spectrogram comparison, the characteristics of the lake streak compact oil and the reed second segment are most similar, which indicates that the lake streak compact oil mainly comes from the reed second segment source rock.
Further, in another embodiment or the above-mentioned embodiments, please continue to combine with fig. 2, step S1 includes:
s13, generating a distribution function model corresponding to each source storage combination according to the characteristics of each land-phase compact oil vertical sweet point source storage combination and the source storage geological characteristics;
and S14, establishing vertical distribution of each source storage combination and the oil content of the compact oil according to the distribution function model.
According to the method, the distribution function model is established, so that an algorithm for dynamically matching different source reservoir combination geological features can be established, the favorable source reservoir combination types of the compact oil in different sedimentary facies zones are quantitatively determined, and the space features of different types of compact oil geological desserts in different basins are determined.
In some preferred embodiments, the distribution function model corresponding to each source-reservoir combination is configured as a compact oil source reservoir charge parameter distribution function model relating charge pressure to oil saturation and reservoir performance for each source-reservoir combination.
The distribution function model in this embodiment may generate a compact oil source charge parameter distribution function model related to the charge pressure, the oil saturation, and the reservoir performance of each source-reservoir combination according to the experimental data by performing an oil-containing charge simulation experiment on each source-reservoir combination.
Obviously, the distribution function models for different target regions are different because the filling pressures corresponding to each source-reservoir combination are different, and the corresponding filling pressures are also different from the distribution of compact oil source filling parameters related to the oil saturation and the reservoir performance, so that the distribution function models for each target region are different. In a particular embodiment, the distribution function model is determined from the corresponding source reservoir patterns formed by the delta front, the half-deep lake, the anterior delta sedimentary facies belt, the dessert segment distribution characteristics, the dense oil birth standard characteristics, and the dessert oil saturation.
More specifically, the distribution model is F (x, y, z) ═ fx (x1, x2) + fy (y1, y2) + fz (z1, z 2); f (x, y, z) represents a dessert distribution mode corresponding to three source-storage combinations of the lake basin compact oil, namely the x, y, z variables correspond to a source-storage mode formed by deposition facies zones of a delta front edge, a half-deep lake and a forward delta; fx (x1, x2), fy (y1, y2) and fz (z1, z2) correspond to dessert segment distribution characteristics corresponding to three source-storage combinations, x1, y1 and z1 refer to compact oil biochemical characteristics, and x2, y2 and z2 refer to dessert oil saturation. Fig. 10 shows a distribution model of the delta front (corresponding to the X variable), f (X) ═ X1-X2) L; wherein F (X) is a pressure gradient, X1Pressure value at the injection end, X2: output end pressure value, L: core length f (V) ═ 1- (V)w1-Vw2)/VGeneral assembly(ii) a Wherein F (V) oil saturation, Vw1Volume of injected water, x 2: volume of output water, VGeneral assembly: total pore volume of core.
Further, in some preferred embodiments, S2 includes:
and determining indexes according to each vertical distribution and the geology of the target area, quantitatively determining the vertical oiliness of other source storage combinations in the target area, and obtaining the vertical dessert distribution position of the compact oil.
The geology determination index in this embodiment includes: and determining indexes of single-factor geology such as compact oil source rocks, reservoirs and the like.
For example, the dessert surface distribution positions obtained are that the content of organic carbon in the source rock is more than 2%, the degree of thermal evolution is more than 0.9%, and the porosity of the reservoir is 6%.
For example, in a specific embodiment, the palygorskite extension group has the characteristics of wide distribution area of dense oil, about 30 x 108t of resource amount, wide distribution range, excellent hydrocarbon source, compact reservoir, complex pore throat structure, poor physical properties, high oil saturation, good oil product, low pressure and the like, and the scale production capacity is built. Therefore, the group length is prolonged by 7 times of dense oil.
The Ordos basin prolonged dense oil hydrocarbon source rock has 2-14% of organic carbon, the thermal evolution degree is 0.6-1.3%, the reservoir is mainly fine sandstone and siltstone, the reservoir is dense, the pore type is generally a pore-dissolving type or an inter-granular pore-dissolving type, the throat is fine, the average median radius is only 0.14 μm, the porosity is generally 6-14%, the air permeability is generally less than 1 x 10-3 μm2, the pore throat is characterized by micro-nano multi-scale distribution, and the radius of most sample pore throats is less than 1 μm. The source storage plane beneficial region is located in a superposed region of the hydrocarbon source rock with organic carbon more than 2%, thermal evolution degree more than 0.9% and reservoir porosity more than 6%.
Three types of delta front edges, half-deep lakes and forward deltas are selected to carry out dessert space distribution determination and prediction on source rock reservoir distribution characteristics of basin delta plains, delta front edges and forward deltas and half-deep lake sediment environment areas, and geochemical comparison of three typical drilling cores A, B and C shows that the source rock reservoir at the delta front edges has good reservoir physical properties (shown in figure 4 and figures 5 a-5 d)
: 4-9%), the source storage combination has few vertical directions, and the dessert is controlled by vertical interlayer and is positioned near the vertical interlayer in the reservoir; as shown in fig. 6 and fig. 7 a-7 i, the source reservoir of the semi-deep lake phase is a thick reservoir thin source, the source rock quality is good (4.6-8.36%, Ro: 0.85%), the porosity is 1.6-8.5%, the source reservoir combination is the most, and the dessert controlled reservoir quality of a plurality of dessert sections is formed by vertical multi-set source reservoir combination; as shown in fig. 8 and fig. 9 a-9 f, the former delta facies source reservoir is a thick source-sandwiched reservoir combination, the reservoir is mainly sandy clastic flow, has good quality (porosity of 10-20.7%), has 13% of source rock TOC and 0.7% of Ro, is reservoir hydrocarbon supply for thick layer source rock, and is adjacent to the high-quality reservoir section of the thick layer source rock, and the vertical distribution range of the dessert is optimal.
According to the method, aiming at the distribution characteristics of desserts in different vertical directions, the oil-containing characteristics of different source storage combinations are physically simulated, and a source storage combination and dessert oil-containing function model is established, so that the fact that the key pressure gradient (2.63atm/cm, 1.37MPa) with sudden change of the oil-containing saturation degree is preferred, the final oil-containing saturation degree of thick source clamp storage reaches 62%, and the source storage combination is the most favorable. And comprehensively determining the spatial distribution characteristics of the compact oil dessert in the Ordos basin by combining a source storage plane beneficial region (the organic carbon of the source rock is more than 2%, the thermal evolution degree is more than 0.9%, and the porosity of the reservoir is more than 6% of an overlapped region), and predicting the dessert reserve of 1 hundred million tons.
Based on the same inventive concept of the above embodiments, the embodiment of the present invention further provides a land-based compact oil geological dessert determination system, which is combined with fig. 11, and includes:
the method comprises the steps of establishing a module 101, dividing a plurality of vertical sweet point source storage combinations of continental facies compact oil, and establishing vertical distribution of each source storage combination and the oil content of the compact oil;
the acquisition unit 102 is used for acquiring vertical dessert distribution positions of the compact oil according to each vertical distribution;
the determining module 103 determines the terrestrial compact oil geological dessert space distribution characteristics according to the compact oil dessert plane distribution and the compact oil vertical dessert distribution position.
The embodiment of the invention provides a continental facies compact oil geological dessert determination system, which is characterized in that vertical heterogeneity determination of compact oil is realized by establishing vertical distribution of each source storage combination and the oil content of the compact oil, vertical distribution characteristics of the compact oil dessert are determined in a segmented manner, and spatial distribution of predicted geological dessert is determined by combining planar distribution of the compact oil dessert, so that accuracy and scientificity of determination and prediction of the continental facies compact oil dessert are improved.
Similar to the above embodiments, in some embodiments, in conjunction with fig. 12, the establishing module includes:
a dense oil source characteristic determination unit 111 for analyzing saturated hydrocarbon/aromatic hydrocarbon chromatography-mass spectrum and gas chromatography of different sedimentary facies with the dense oil layer in the target area and determining the dense oil source characteristics;
and the dividing unit 112 is used for dividing a plurality of vertical sweet point source storage combinations of the terrestrial compact oil according to the compact oil source characteristics.
The oil source comparison is mainly performed by Pr/Ph values, the relevant parameters of special biotopes such as β -carotene (gas chromatography), hopane (m/z 191, chromaticness) and sterane (m/z 217, chromaticness). For example, the compact oil source of the lagoon of the three comparative lagoons in FIG. 3a and FIG. 3b, as can be seen by the typical pattern in the figure, the stripe section P in the rock samples of the lagoon group and the Phragmites communis group2t2The source rock of (2) is characterized in that:
1) Pr/Ph is between 0.9 and 1.4;
2) contains no beta-daucane;
3) lower gamma-paraffins;
4) the tricyclic terpene content is high;
5) c of regular sterane alpha 20R27、C28、C29The three peaks are in asymmetric V-type.
Trigonellae P2I2The source rock of (2) is characterized in that:
1) Pr/Ph is more than 1.0;
2) contains no beta-daucane;
3) substantially free of gamma-cerane;
4) the tricyclic terpene content is low;
5) c of regular sterane alpha 20R27、C28、C29The three peaks are in reverse L form.
The source rock of the reed second segment is characterized in that:
1) Pr/Ph is generally less than 1.0;
2) high beta-daucane content;
3) the content of gamma-cerane is rich;
4) the tricyclic terpene content is low;
5) c of regular sterane alpha 20R27、C28、C29The three peaks are linear.
By spectrogram comparison, the characteristics of the lake streak compact oil and the reed second segment are most similar, which indicates that the lake streak compact oil mainly comes from the reed second segment source rock.
Further, in another embodiment or the above embodiment, please continue to combine fig. 12, where the establishing module includes:
the distribution function model establishing unit 113 is used for generating a distribution function model corresponding to each source storage combination according to the characteristics of each land-phase compact oil vertical sweet point source storage combination and the source storage geological characteristics;
and a vertical distribution establishing unit 114 for establishing vertical distribution of each source storage combination and the oil-containing property of the compact oil according to the distribution function model.
According to the method, the distribution function model is established, so that an algorithm for dynamically matching different source reservoir combination geological features can be established, the favorable source reservoir combination types of the compact oil in different sedimentary facies zones are quantitatively determined, and the space features of different types of compact oil geological desserts in different basins are determined.
In some preferred embodiments, the distribution function model is built from compact oil source fill parameters relating fill pressure to oil saturation and reservoir performance for each source reservoir combination.
In this embodiment, an oil-bearing charge simulation experiment is performed on each source-reservoir combination, and then a compact oil source charge parameter related to the charge pressure, the oil saturation, and the reservoir performance of each source-reservoir combination is generated according to the experimental data to establish a distribution function model. And the distribution function model is determined according to a corresponding source storage mode, a dessert section distribution characteristic, a dense oil biomarker characteristic and a dessert oil saturation degree formed by a delta leading edge, a half-deep lake and a forward delta sedimentary facies belt.
Obviously, the distribution function models for different target regions are different because the filling pressures corresponding to each source-reservoir combination are different, and the corresponding filling pressures are also different from the distribution of compact oil source filling parameters related to the oil saturation and the reservoir performance, so that the distribution function models for each target region are different.
In addition, in some preferred embodiments, in combination with fig. 9a to 9f, the obtaining module quantitatively determines vertical oiliness of other source-reservoir combinations in the target region according to each vertical distribution and the target region geological determination index, and obtains the vertical dessert distribution position of the compact oil.
The geology determination index in this embodiment includes: and determining indexes of single-factor geology such as compact oil source rocks, reservoirs and the like.
For example, the dessert surface distribution positions obtained are that the content of organic carbon in the source rock is more than 2%, the degree of thermal evolution is more than 0.9%, and the porosity of the reservoir is 6%.
Through the detailed description of the specific embodiment, it can be known that the method is based on the test of a typical oil source geochemical system of the compact oil, and based on the determination of the vertical heterogeneity of the compact oil, a dynamic change function model of the source-storage combination is established by combining the idea of mutual dynamic matching of the controlled source-storage combination of the compact oil geological dessert, so that the vertical distribution characteristic of the compact oil dessert is determined in sections, finally, the determination index is determined by combining the compact oil geological dessert, and the spatial distribution of the predicted geological dessert is determined quantitatively.
In addition, in the embodiment of the above-mentioned redus basin, the method and the system of the present invention are applied to determine and predict the 7-segment compact oil geological dessert in the redus basin extension group, and a preliminary recognition is obtained:
the long 7-section source storage quality of the Ordos basin is the basis of compact oil plane enrichment, the high hydrocarbon discharge rate is a key factor for forming a high-yield dessert rich in compact oil, and the hydrocarbon generation strength of the long 7 shale is required to be more than 3000Kt/Km2The shale hydrocarbon discharge amount is more than 200mg/gTOC, the high yield of the enriched compact oil is controlled by the vertical physical property difference of the reservoir, and the distribution characteristic is controlled by the horizontal difference;
establishing three types of a 7 compact oil delta front edge, a half-deep lake and a front delta of an Eldos basin, indicating the vertical distribution characteristics of different source combined desserts, and revealing an oil saturation curve of the compact oil dessert through physical simulation, wherein the compact oil is gathered in a nonlinear flow form, and the oil saturation has a sudden critical pressure gradient (2.63atm/cm, 1.37 MPa);
③ leading edge of delta: source reservoir stratum with good reservoir physical properties (
: 4-9%), the source storage combination has few vertical directions, and the dessert is controlled by vertical interlayer and is positioned near the vertical interlayer in the reservoir;
fourthly, half-deep lake phase: the source reservoirs are thick reservoir and thin sources, the quality of source rock is good (4.6-8.36%, Ro: 0.85%), the porosity is 1.6-8.5%, the source reservoir combination is the most, and a plurality of dessert section dessert controlled reservoir qualities are formed by combining a plurality of vertical sets of source reservoirs;
anterior delta phase: the source storage is a thick source-sandwiched source combination, the reservoir layer mainly comprises sandy clastic flow, the quality is good (the porosity is 10-20.7%), the TOC of the source rock is 13%, the Ro is 0.7%, the thick layer source rock is used for supplying hydrocarbon to the reservoir layer, the high-quality reservoir layer section close to the thick layer source rock is large in dessert vertical distribution range, the oil saturation of the physical simulation thick source-sandwiched storage is up to 62%, and the thick source-sandwiched source combination is the most beneficial source-storage combination.
Obviously, in the specific embodiment, an accurate determination and prediction effect can be obtained, so that the determination and prediction of the continental phase compact oil dessert have accuracy and scientificity.
Further, some embodiments of the present invention provide a computer device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the method performed by the client as described above when executing the program, or the processor implementing the method performed by the server as described above when executing the program.
Referring now to fig. 13, there is shown a schematic block diagram of a computer device 1300 suitable for use in implementing a terminal device or server of an embodiment of the present application.
As shown in fig. 13, the computer apparatus 1300 includes a Central Processing Unit (CPU)1301 that can perform various appropriate works and processes according to a program stored in a Read Only Memory (ROM)1302 or a program loaded from a storage section 1308 into a Random Access Memory (RAM)) 1303. In the RAM1303, various programs and data necessary for the operation of the system 1300 are also stored. The CPU1301, the ROM1302, and the RAM1303 are connected to each other via a bus 1304. An input/output (I/O) interface 1305 is also connected to bus 1304.
The following components are connected to the I/O interface 1305: an input portion 1306 including a keyboard, a mouse, and the like; an output section 1307 including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage portion 1308 including a hard disk and the like; and a communication section 1309 including a network interface card such as a LAN card, a modem, or the like. The communication section 1309 performs communication processing via a network such as the internet. A drive 1310 is also connected to the I/O interface 1306 as needed. A removable medium 1311 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 1310 as necessary, so that a computer program read out therefrom is mounted as necessary on the storage section 1308.
In particular, according to an embodiment of the present invention, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the invention include a computer program product comprising a computer program tangibly embodied on a machine-readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such embodiments, the computer program may be downloaded and installed from a network via communications component 1309 and/or installed from removable media 1311.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The principle and the implementation mode of the invention are explained by applying specific embodiments in the invention, and the description of the embodiments is only used for helping to understand the method and the core idea of the invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.
Claims (14)
1. A method for determining a continental compacted oil geological dessert, comprising:
dividing a plurality of vertical sweet point source storage combinations of the continental facies compact oil, and establishing vertical distribution of each source storage combination and the oil content of the compact oil;
acquiring vertical dessert distribution positions of the compact oil according to each vertical distribution;
determining the spatial distribution characteristics of the geological dessert with the continental phase compact oil according to the planar distribution of the compact oil dessert and the vertical dessert distribution position of the compact oil;
the method for dividing the plurality of vertical sweet point source storage combinations of the land-phase compact oil comprises the following steps:
analyzing the chromatogram-mass spectrum and gas chromatogram of saturated hydrocarbon and/or aromatic hydrocarbon of different sedimentary facies with the dense oil layer in the target area, and determining the characteristics of the dense oil source;
dividing a plurality of land-phase compact oil vertical sweet point source storage combinations according to the compact oil source characteristics;
the establishment of the vertical distribution of each source storage combination and the oil-bearing property of the compact oil comprises the following steps:
generating a distribution function model corresponding to each source storage combination according to the characteristics of each land-phase compact oil vertical sweet point source storage combination and the source storage geological characteristics;
and establishing vertical distribution of each source storage combination and the oil content of the compact oil according to the distribution function model.
2. The method of claim 1, wherein the distribution function model is determined from fill pressure and oil saturation for each source-reservoir combination and tight source-reservoir fill parameters related to reservoir performance.
3. The method of claim 1, wherein said obtaining a densified oil vertical sweet spot location from each vertical spread comprises:
and determining indexes according to each vertical distribution and the geology of the target area, quantitatively determining the vertical oiliness of other source storage combinations in the target area, and obtaining the vertical dessert distribution position of the compact oil.
4. The method of claim 3, wherein the geologically determined metric comprises:
and (4) determining indexes of the compact oil source rock and the reservoir single-factor geology.
5. The method of claim 1, wherein the distribution function model is determined from corresponding source reservoir patterns formed by delta leading edges, half-deep lakes, forward delta sedimentary facies, dessert portion distribution characteristics, dense oil birth standard characteristics, and dessert oil saturation.
6. The method of claim 1, wherein the source-reservoir combination comprises:
at least one of a thick source clamp and a thin source clamp.
7. A continental compacted oil geological dessert determination system, comprising:
the building module is used for dividing a plurality of vertical sweet point source storage combinations of the continental facies compact oil and building vertical distribution of each source storage combination and the oil content of the compact oil;
the acquisition module is used for acquiring vertical dessert distribution positions of the compact oil according to each vertical distribution;
the determining module is used for determining the spatial distribution characteristics of the continental phase compact oil geological dessert according to the compact oil dessert plane distribution and the compact oil vertical dessert distribution position; the establishing module comprises:
a dense oil source characteristic determination unit for analyzing the chromatogram-mass spectrum and gas chromatogram of saturated hydrocarbon and/or aromatic hydrocarbon of different sedimentary facies with the dense oil layer in the target area and determining the dense oil source characteristic;
the dividing unit is used for dividing a plurality of land-phase compact oil vertical sweet point source storage combinations according to the compact oil source characteristics;
the establishing module comprises:
the distribution function model establishing unit is used for generating a distribution function model corresponding to each source storage combination according to the characteristics of each land-phase compact oil vertical sweet point source storage combination and the source storage geological characteristics;
and the vertical distribution establishing unit is used for establishing the vertical distribution of each source storage combination and the oil content of the compact oil according to the distribution function model.
8. The system of claim 7, wherein the distribution function model is determined from fill pressure and oil saturation for each source-reservoir combination and tight source-reservoir fill parameters related to reservoir performance.
9. The system of claim 7, wherein the obtaining module is configured to quantitatively determine the vertical oiliness of other source reservoirs in the target region according to each vertical distribution and the geological determination index of the target region, and obtain the vertical dessert distribution position of the compact oil.
10. The system of claim 9, wherein the geology-determined metric comprises:
and (4) determining indexes of the compact oil source rock and the reservoir single-factor geology.
11. The system of claim 7, wherein the distribution function model is determined from corresponding source reservoir patterns formed by delta leading edges, half-deep lakes, forward delta sedimentary facies, dessert portion distribution characteristics, dense oil birth standard characteristics, and dessert oil saturation.
12. The system of claim 7, wherein the source-reservoir combination comprises:
at least one of a thick source clamp and a thin source clamp.
13. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the program implements the steps of the continental compacted oil geological dessert determination method of any of claims 1 to 6.
14. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the continental compacted oil geological dessert determination method of any of claims 1 to 6.
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