CN110646843B - Land source organic matter distribution determination method and device and network equipment - Google Patents
Land source organic matter distribution determination method and device and network equipment Download PDFInfo
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- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
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Abstract
The application provides a method, a device and network equipment for determining organic matter distribution, wherein the method comprises the following steps: acquiring geological structure characteristic data and organic matter abundance data of a target work area; determining a simulation scale and a bottom model according to the geological structure characteristic data; determining a plurality of water intake periods of deposition simulation according to the sequence stratum analysis result of the target work area; determining the proportion of the sand and the organic matters according to the abundance data of the organic matters; and performing deposition simulation of organic matter distribution in multiple water intake periods according to the simulation scale and the bottom model, the ratio of sand to organic matter, and preset water addition amount and hydrodynamic strength to obtain the organic matter distribution state of the target work area. In the embodiment of the application, the distribution condition of the organic matters is determined in a forward mode, the needed basic data of the target work area is less, the cost is effectively reduced, and the distribution characteristics of the organic matters can be effectively determined when the target work area is deficient in samples.
Description
Technical Field
The application relates to the technical field of geological exploration, in particular to a land source organic matter distribution determining method, a land source organic matter distribution determining device and network equipment.
Background
The land-source organic matter refers to organic matter derived from lake aquatic organisms and from higher plants, the distribution rule and control factors of the land-source organic matter are researched, and the favorable enrichment area of the land-source organic matter can be determined, so that the oil and gas exploration and development process is effectively guided.
In the prior art, in order to determine the distribution state of land-source organic matters of a delta-shallow sea deposition system, the distribution characteristics of the land-source organic matters are generally inverted by representing geochemical parameters such as total carbon stable isotope, nitrogen stable isotope ratio, BIT and lignin content of the organic matters and a biomarker compound and drawing a contour map and the like according to data. However, when characterization is performed through geochemical parameters, a large amount of measured sample data is needed, and the limitation is caused by the number of drilled wells and the sample detection cost in the actual oil and gas development process, so that the problem that the cost for determining the distribution state of land-source organic matters by adopting the existing inversion method is too high, and the distribution characteristics of the organic matters cannot be effectively determined when the samples are deficient exists.
In view of the above problems, no effective solution has been proposed.
Disclosure of Invention
The embodiment of the application provides a method and a device for determining land source organic matter distribution and network equipment, and aims to solve the problems that the cost is too high when the existing inversion method is adopted to determine the distribution state of land source organic matter, and the distribution characteristics of the organic matter cannot be effectively determined when a sample is deficient.
The embodiment of the application provides a method for determining land source organic matter distribution, which comprises the following steps: acquiring geological structure characteristic data and organic matter abundance data of a target work area; determining a simulation scale and a bottom model according to the geological structure characteristic data of the target work area; performing sequence stratum analysis on the target work area, and determining a plurality of water intake periods of deposition simulation according to the sequence stratum analysis result; determining the proportion of sand to organic matters according to the organic matter abundance data; and performing deposition simulation of organic matter distribution in the multiple water intake periods according to the simulation scale and the bottom model, the ratio of the sand to the organic matter, and preset water addition amount and hydrodynamic strength to obtain the organic matter distribution state of the target work area.
In one embodiment, after determining a plurality of water intake periods for a deposition simulation from the sequence analysis results, further comprising: acquiring granularity analysis data of depth sections corresponding to the target work area in each water inflow period; and determining the proportion of each grain size sand in the various grain size sands in each water intake period according to the grain size analysis data of the depth section corresponding to each water intake period of the target work area.
In one embodiment, the plurality of grit includes at least one of: gravel, medium sand, coarse sand, fine sand and mud.
In one embodiment, the simulation of organic matter distribution deposition at the plurality of water intake stages according to the simulation scale and base model, the sand to organic matter ratio, the preset water addition amount and hydrodynamic strength comprises: acquiring source supply data of a target work area; determining the sand adding amount of each water inlet period according to the material source supply data; determining the quantity of the sand with various granularities and the organic matters which need to be added in each water intake period according to the sand adding quantity of each water intake period, the proportion among the sand with various granularities in each water intake period and the proportion of the sand and the organic matters; uniformly mixing the sand with various particle sizes and the organic matters which are required to be added in each water inflow period according to the determined quantity of the sand with various particle sizes and the organic matters which are required to be added in each water inflow period; and continuously adding water according to the preset water adding amount and hydrodynamic strength in a plurality of water inflow periods of the deposition simulation, and continuously adding the uniformly mixed sand with various granularities and organic matters according to the quantity of the sand with various granularities and the organic matters which need to be added in each water inflow period to perform the deposition simulation of the distribution of the organic matters.
In one embodiment, the continuously adding water according to the preset water adding amount and the hydrodynamic strength during a plurality of water inlet periods of the deposition simulation comprises: and in each water inflow period of the deposition simulation, continuously adding water by taking a flood period, a water leveling period and a dry period as a circulation period.
In one embodiment, after the deposition simulation of the organic matter distribution is performed, the method further comprises: slicing a cross section of a simulation result of the deposition simulation according to a first interval to obtain first slice data; slicing the longitudinal section of the simulation result of the deposition simulation according to a second interval to obtain second slice data; and determining a target area for organic matter deposition according to the first slice data and the second slice data.
In one embodiment, the sand and organic matter mixture ratio comprises: proportioning of sand and lignite.
In one embodiment, the lignite comprises: the brown coal comprises powdery brown coal and granular brown coal, wherein the ratio of the powdery brown coal to the granular brown coal is 3: 2.
The embodiment of the present application further provides a device for determining land source organic matter distribution, including: the acquisition module is used for acquiring geological structure characteristic data and organic matter abundance data of a target work area; the first determination module is used for determining a simulation scale and a bottom model according to the geological structure characteristic data of the target work area; the processing module is used for carrying out sequence stratum analysis on the target work area and determining a plurality of water intake periods of deposition simulation according to the sequence stratum analysis result; the second determination module is used for determining the proportion of the sand to the organic matters according to the abundance data of the organic matters; and the deposition simulation module is used for performing deposition simulation of organic matter distribution in the multiple water intake periods according to the simulation scale and the bottom model, the ratio of the sand to the organic matter, and preset water addition amount and hydrodynamic strength so as to obtain the organic matter distribution state of the target work area.
Embodiments of the present application further provide a network device, which includes a processor and a memory for storing processor-executable instructions, where the processor executes the instructions to implement the steps of the method.
Embodiments of the present application also provide a computer-readable storage medium, on which computer instructions are stored, which when executed, implement the steps of the land-source organic matter distribution determination method.
The embodiment of the application provides a method for determining land source organic matter distribution, which can determine a simulation scale and a bottom model according to geological structure characteristic data of a target work area by acquiring geological structure characteristic data and organic matter abundance data of the target work area, and determine the ratio of sand to organic matter according to the organic matter abundance data. And performing sequence stratum analysis on the target work area, and determining a plurality of water intake periods of the deposition simulation according to the sequence stratum analysis result. Therefore, deposition simulation of organic matter distribution can be carried out in multiple water intake periods according to the determined simulation scale and the bottom model, the sand-organic matter ratio, the preset water adding amount and the preset hydrodynamic strength, so as to obtain the organic matter distribution state of the target work area. The distribution condition of the organic matters is determined in a forward mode, the needed basic data of the target work area is less, the cost is effectively reduced, and the distribution characteristics of the organic matters can be effectively determined when the number of samples in the target work area is insufficient. And deposition simulation is carried out in a forward mode, so that the distribution state of the organic matters can be determined more visually, and the large-scale trend of the distribution of the organic matters is favorably researched.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application, are incorporated in and constitute a part of this application, and are not intended to limit the application. In the drawings:
fig. 1 is a schematic step diagram of a method for determining land-source organic matter distribution provided according to an embodiment of the present application;
FIG. 2 is a schematic illustration of an experimental foot-form slope design provided in accordance with an embodiment of the present application;
FIG. 3 is a schematic illustration of a thickness contour of a base shape provided in accordance with a specific embodiment of the present application;
FIG. 4 is a schematic illustration of results of a sequence stratigraphic analysis provided in accordance with a specific embodiment of the present application;
FIG. 5 is a graphical illustration of deposition results provided in accordance with an embodiment of the present application;
FIG. 6 is a schematic illustration of a slice of experimental results provided in accordance with a specific embodiment of the present application;
fig. 7 is a schematic diagram of a cross-section of 2.75m Y provided in accordance with an embodiment of the present application;
fig. 8 is a schematic diagram of a longitudinal section of 0.75m X provided in accordance with a specific embodiment of the present application;
fig. 9 is a schematic structural diagram of a land-source organic matter distribution determination device provided according to an embodiment of the present application;
fig. 10 is a schematic structural diagram of a network device provided according to an embodiment of the present application.
Detailed Description
The principles and spirit of the present application will be described with reference to a number of exemplary embodiments. It should be understood that these embodiments are given solely for the purpose of enabling those skilled in the art to better understand and to practice the present application, and are not intended to limit the scope of the present application in any way. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
As will be appreciated by one skilled in the art, embodiments of the present application may be embodied as a system, apparatus, device, method or computer program product. Accordingly, the present disclosure may be embodied in the form of: entirely hardware, entirely software (including firmware, resident software, micro-code, etc.), or a combination of hardware and software.
In consideration of the existing determination scheme for determining the distribution state of land-source organic matters in the delta-shallow sea sediment system, the distribution characteristics of the land-source organic matters are generally inverted by representing geochemical parameters such as total carbon stable isotope, nitrogen stable isotope ratio, BIT, lignin content and the like of the organic matters and a biomarker compound and drawing a contour map and the like according to data. However, when characterization is performed through geochemical parameters, a large amount of measured sample data is needed, and the limitation is caused by the number of drilled wells and the sample detection cost in the actual oil and gas development process, so that the problem that the cost for determining the distribution state of land-source organic matters by adopting the existing inversion method is too high, and the distribution characteristics of the organic matters cannot be effectively determined when the samples are deficient exists. And the geochemical parameters and the parameters of the biomarker compounds are greatly influenced by secondary transformation, so that the land source organic matter distribution law represented by the geochemical parameters and the biomarker compounds possibly has larger errors.
Based on the above problem, an embodiment of the present invention provides a method for determining land source organic matter distribution, as shown in fig. 1, which may include the following steps:
s101: and acquiring geological structure characteristic data and organic matter abundance data of the target work area.
In one embodiment, the target work area may be an delta-shallow sea sediment system, wherein the delta refers to a sediment formed in a stable water body or in the close vicinity of the water body by a river and partially exposed out of the water surface, and the sediment system refers to a huge three-dimensional sediment body formed by the sediment combination with a uniform source and a uniform water flow dynamic system and having symbiotic relationship on the formation. Thus, the delta-shallow sea sediment system refers to sediment bodies controlled by a uniform source of water and a uniform hydrodynamic fluid, and ranges from the delta sediment body to deep water regions where sediment can reach. It will be appreciated that the target zone may also be other deposition systems, such as: a river sedimentation system, a transition sedimentation system, a bastard deposition system, etc., which are not limited in this application.
The geological feature data may include, but is not limited to, at least one of: main construction data (such as concave and convex), bottom gradient of the target work area and actual size of the target work area. The organic matter abundance refers to the amount of organic matter contained in the sediment (rock), and is usually expressed in terms of the content of residual organic carbon, extractives, pyrolysis hydrocarbons, and the like. In one embodiment, the control factors of the organic matter distribution can be determined in advance according to the ancient delta survey data and the modern estuary deposition survey data, the land-source organic matter distribution control factors include debris granularity, plant debris input, organic matter composition, mineral composition, source supply, hydrodynamic strength, hydrodynamic type, carrying distance, water salinity, PH value, Eh, temperature and other factors, and the change of the factors influences the land-source organic matter deposition result. Factors that may be considered in performing a deposition simulation of land-source organic matter include, but are not limited to, at least one of: crumb size, source supply, hydrodynamic strength, hydrodynamic type, transport distance, water salinity, PH, Eh, and temperature, among others.
S102: and determining a simulation scale and a bottom model according to the geological structure characteristic data of the target work area.
After geological structure characteristic data of the target work area is obtained, a simulation scale can be determined according to the actual size of the target work area, for example: under the conditions that the simulated size is designed to be 3m multiplied by 5m and the actual size of the target work area is 3000m multiplied by 5000m, the simulation scale can be determined to be 1: 1000; in the case where the simulated dimension is designed to be 3m × 5m and the actual dimension of the target work area is 3000m × 10000m, the simulation scale in the transverse direction is 1:1000, the simulation scale in the longitudinal direction is 1:2000, and the determination of the scale in the height direction is the same.
Further, the base model can be determined according to main structural data (such as a recess and a bulge) of the target work area and the bottom gradient of the target work area in the geological structural characteristic data, and the base model can be obtained by reducing according to the determined simulation scale according to the actual geological structural characteristic of the target work area and the bottom gradient of the target work area. When determining the base form according to the geological structure characteristic data, since the paleotopography of the target work area is generally complex, only the main structural data of the target work area may be considered, for example: depressions, protrusions, etc., without taking into account the local appendage formations of smaller scale.
S103: and performing sequence stratum analysis on the target work area, and determining a plurality of water intake periods of the deposition simulation according to the sequence stratum analysis result.
The organic matter deposition of the target work area can comprise a plurality of deposition periods, so that a plurality of water inflow periods can be correspondingly included, and specifically, the sequence and stratum analysis can be carried out on the target work area according to the drilling data, the granularity analysis data, the lithofacies analysis data, the stratum data and the core data of the target work area, wherein the sequence is a set of formations which are all integral, have relationship in cause, and are bounded by unconformity and integration which can be compared with the unconformity. The medium sequence cycle data in the sequence formation analysis results can be partitioned to determine a plurality of water intake periods of the deposition simulation.
Considering the factors of sediment granularity characteristics, water flow carrying capacity and the like, the source can be designed according to the actual geological data of the target work area and the factors, and the source can include but is not limited to at least one of the following: gravel, medium sand, coarse sand, fine sand, mud and organic matter. Furthermore, the particle size characteristics of the source of the target work area can be determined according to the particle size analysis data of the target work area. After the multiple water inflow periods of the deposition simulation are determined, the particle size analysis data of the depth section of the target work area corresponding to each water inflow period can be obtained, and the proportion of each particle size sand in the multiple particle size sands in each water inflow period is determined according to the particle size analysis data of the depth section of the target work area corresponding to each water inflow period.
Wherein, the plurality of grit sizes may include, but are not limited to, at least one of: gravel, medium sand, coarse sand, fine sand and mud. In one embodiment, the gravel may be sieved through a sieve of 8 to 10 meshes, the medium sand may be sieved through a sieve of 18 to 35 meshes, the coarse sand may be sieved through a sieve of 35 to 65 meshes, the fine sand may be sieved through a sieve of 65 to 150 meshes, and the mud may be sieved through a sieve of 300 meshes. Wherein the sieve standards employed in the present application are common standard sieve standards, as shown in table 1:
TABLE 1 common Standard Sieve
| The number of eyes | Mesh size (mm) | The number of eyes | Mesh size (mm) | The number of eyes | Mesh size (mm) |
| 8 | 2.50 | 45 | 0.400 | 130 | 0.112 |
| 10 | 2.00 | 50 | 0.355 | 150 | 0.100 |
| 12 | 1.60 | 55 | 0.315 | 160 | 0.090 |
| 16 | 1.25 | 60 | 0.280 | 190 | 0.080 |
| 18 | 1.00 | 65 | 0.250 | 200 | 0.071 |
| 20 | 0.90 | 70 | 0.224 | 240 | 0.063 |
| 24 | 0.80 | 75 | 0.200 | 260 | 0.056 |
| 26 | 0.70 | 80 | 0.180 | 300 | 0.050 |
| 28 | 0.63 | 90 | 0.160 | 320 | 0.045 |
| 32 | 0.56 | 100 | 0.154 | 360 | 0.040 |
| 35 | 0.50 | 110 | 0.140 | ||
| 40 | 0.45 | 120 | 0.120 |
S104: and determining the proportion of the sand and the organic matters according to the abundance data of the organic matters.
In one embodiment, lignite may be used to simulate organic matter, it being understood that other materials may be used, such as: modern silt, black soil, shale, peat soil, etc., materials used to simulate organic matter may need to have characteristics that may include: has certain density, can be naturally settled under the action of flowing water and has higher organic matter abundance. The lignite can comprise powdery lignite and granular lignite in a ratio of 3:2 under the condition that the lignite is adopted to simulate organic matters. The powdery lignite can be screened by a 200-240-mesh sieve for simulating floating state and dissolved state organic matters, and the granular lignite can be screened by a 40-150-mesh sieve for simulating granular organic matters.
In one embodiment, the mass ratio between lignite and sand is assumed to be 1: x, determining the mass ratio between the lignite and the sand according to the following formula:
wherein, TOCcoalThe average organic carbon content (unit is:%) of the lignite is determined according to the organic matter abundance data;
the average organic carbon content (in:%) required under the experimental conditions.
S105: and performing deposition simulation of organic matter distribution in multiple water intake periods according to the simulation scale and the bottom model, the ratio of sand to organic matter, and preset water addition amount and hydrodynamic strength to obtain the organic matter distribution state of the target work area.
Certain matching relation among hydrodynamic strength, water adding quantity and sand adding quantity is needed, if the sand adding quantity is too large, water flow is not enough to take away sediments, and if the sand adding quantity is too small, a pit is easy to form at a source; if the flow rate is too large, the deposition speed is too high, so that the deposition phenomenon is not obvious, and if the flow rate is too small, the deposition cannot be normally carried. Thus, in one embodiment, a pre-experiment may be performed to determine a suitable match between hydrodynamic strength, water addition, and sand addition, which may be determined based on source supply data for the target site, with different sand addition and water flow rates for flood, mid, and dry flood periods.
Considering that the water flow in nature generally comprises a flood period, a normal period and a dry period, the water can be continuously added in each water inlet period of the deposition simulation by taking the flood period, the normal period and the dry period as a circulation period. The change of flood period, middle water period and withered water period in nature has certain rule, and the time proportion of flood period, middle water period and withered water period can be designed as 1: 3: 6, it can be understood that the time proportion of the flood period, the middle flood period and the dry flood period can be adjusted according to actual conditions, and the application does not limit the time proportion. In the flood period, the middle flood period and the dry flood period, the flow rates of water in different periods are different, so that the proportion of the flow rate needs to be matched with the flood period, the middle flood period and the dry flood period, specific numerical values can be determined according to the result of the preliminary experiment, and the application does not limit the water flow rates.
Because the water flow and the hydrodynamic strength of different water flow periods are different, the determined proportion of each grain size sand in the multiple grain size sands in each water inflow period can be adjusted according to the water flow characteristics of different water flow periods. The ratio of each sand size in the multiple sand sizes in each water inflow period determined above can be used as the ratio of each sand size in the multiple sand sizes in the flood period, and since the hydrodynamic strength from the flood period to the flat period to the dry period is gradually weakened, the ratio of gravel, medium sand and coarse sand can be properly reduced and the ratio of fine sand and mud can be properly improved in the flat period and the dry period, and specific adjustment data can be determined according to actual conditions, which is not limited in the present application. Further, the ratio of the sand and the organic matter determined in step S104 may be the ratio of the sand and the organic matter determined in the middle water period, the ratio may be appropriately increased in the flood period, and the ratio may be appropriately decreased in the dry period, with the adjustment factor generally not exceeding 0.5.
When deposition simulation of organic matter distribution is performed in a plurality of water intake periods according to a simulation scale, a bottom model, the proportion of sand to organic matter, and preset water addition amount and hydrodynamic strength, specifically, the amount of sand added in each water intake period, the proportion of sand with various particle sizes in each water intake period, and the proportion of sand to organic matter are determined according to the above, the amount of sand with various particle sizes and organic matter to be added in each water intake period are determined, and the sand with various particle sizes and organic matter to be added in each water intake period are uniformly mixed. And in a plurality of water intake periods, continuously adding water according to the preset water adding amount and the preset hydrodynamic strength, and continuously adding the uniformly mixed sand with various particle sizes and organic matters according to the quantity of the sand with various particle sizes and the organic matters required to be added in each water intake period to perform deposition simulation of organic matter distribution. Wherein, the preset water adding amount and the hydrodynamic force intensity can be different in different water intake periods.
The method comprises the following steps in each water inlet period: under the conditions of a flood period, a normal period and a dry period, the water adding amount, the hydrodynamic strength, the proportion among sand with various granularities and the proportion of the sand and organic matters of each water entering period, the normal period and the dry period can be respectively determined. Therefore, according to the determined simulation scale and the bottom model, the water flow and the hydrodynamic strength of different water flow periods in each water inflow period and the quantity of the sand and the organic matters with various particle sizes which need to be added, the sedimentation simulation of the organic matter distribution is carried out according to the mode by taking a flood period, a flat period and a dry period as a cycle period in each water inflow period. In one embodiment, the simulation duration of each water intake period may be 48 hours, and it is understood that the specific simulation duration may be adjusted according to the actual situation, which is not limited in this application.
After the deposition simulation of the organic matter distribution is performed, the cross section of the simulation result of the deposition simulation may be sliced at a first interval to obtain first slice data, and the cross section of the simulation result of the deposition simulation may be sliced at a second interval to obtain second slice data. From the first slice data and the second slice data, a target region for organic matter deposition may be determined. The interval may be a value greater than 0, and in general, the first interval may be 0.25m, and the second interval may be 0.75m, which may be determined according to the observation requirement, and the application is not limited thereto.
Under the condition that the lignite is adopted to simulate the organic matters, the range information of organic matter deposition can be determined according to the positions of the lignite in the sliced data, wherein black coal seam strips in the sliced data can be used as a target area of organic matter deposition and can also be called as an advantageous area of organic matter deposition, so that a favorable enrichment area of land-source organic matters in a target work area can be obtained.
From the above description, it can be seen that the embodiments of the present application achieve the following technical effects: by acquiring the geological structure characteristic data and the organic matter abundance data of the target work area, the simulation scale and the bottom model can be determined according to the geological structure characteristic data of the target work area, and the proportion of the sand and the organic matter is determined according to the organic matter abundance data. And performing sequence stratum analysis on the target work area, and determining a plurality of water intake periods of the deposition simulation according to the sequence stratum analysis result. Therefore, deposition simulation of organic matter distribution can be carried out in multiple water intake periods according to the determined simulation scale and the bottom model, the sand-organic matter ratio, the preset water adding amount and the preset hydrodynamic strength, so as to obtain the organic matter distribution state of the target work area. The distribution condition of the organic matters is determined in a forward mode, the needed basic data of the target work area is less, the cost is effectively reduced, and the distribution characteristics of the organic matters can be effectively determined when the number of samples in the target work area is insufficient. And deposition simulation is carried out in a forward mode, so that the distribution state of the organic matters can be determined more visually, and the large-scale trend of the distribution of the organic matters is favorably researched.
The above method is described below with reference to a specific example, however, it should be noted that the specific example is only for better describing the present application and is not to be construed as limiting the present application.
The method is characterized in that a cliff city group in a south depressed cliff 13-1 air field area of the southeast Yan basin is used as a prototype geological model to determine organic matter distribution, and according to actual data of the cliff city group in the south depressed cliff 13-1 air field area of the southeast Yan basin, the object source of a research area can be determined to mainly come from a cliff city bulge on the north, so that the object source is designed to be consistent with the reality. Designing a 3m multiplied by 5m experiment area, wherein the transverse effective use range is 0-3.0 m, and the scale is 1: 10000; the longitudinal application range is 0-5.0 m, and the scale is 1: 8000; the height direction thickness scale is 1: 1000.
designing according to the bottom shape characteristics of the lake basin in the research area and the actual situation of the experimental area, wherein Y is 0-0.35 m and is a fixed river channel area, namely a river channel arranged for a supply source, and the effective measurement range is not counted; y is 0.35-3.5 m and is an Delta deposition area, namely the final deposition range of the deposition experiment; y is 3.5-5.0 m in shallow sea area. The gradient of the research area near the object source is about 2 degrees, generally the gradient of the research area near the object source is steeper, and the gradient gradually decreases towards the ocean. The design of the experimental bottom slope is shown in fig. 2, wherein the design slope of Y is about 3-5 degrees at the position close to the source, the slope of Y is 1-3 degrees at 2-4 m, the transition gradually reaches 1 degree, and the slope of Y is 1 degree at 4-5 m. The thickness contour map of the bottom profile is shown in fig. 3, where the unit of the values 38, 30, 20, etc. is cm, which is the thickness between the bottom surface after the slope is laid and the bottom surface before the thickness is not laid, and the white frame in the figure is the position of the artificially set river channel for the additive source.
According to the particle size analysis data of a cliff city group in a research area, fine sand is mainly used in a plait river delta sedimentation area, a small amount of gravel is seen, lithology of each sedimentation period is different, the experimental design mainly considers the particle size characteristics of sediment, the carrying capacity of water flow and the change of sand content in a flood period, a middle water period and a dry water period, and a design material source mainly comprises fine sand, silt, mud and lignite. According to the research result of the stratum sequence of the research area, the cliff three-section delta deposition can be divided into three stages of water inflow according to the middle-stage sequence cycle, and as shown in FIG. 4, the cliff three-section delta deposition can be divided into Run2-1, Run2-2 and Run2-3 according to the width of a logging mirror image, the middle-stage sequence cycle and other data, wherein GR is a natural gamma logging curve, and RT is a resistivity logging curve. Because the sediment deposition range is gradually reduced in the water intake period, the sediment has no depositable space when the water intake experiment is directly carried out, and therefore, the simulation of the initial deposition range is firstly carried out before the water intake, and the simulation is taken as a bottom model and is marked as Run 1.
The change of flood period, normal water period, dry season in nature has certain law, can design the flood according to the change law: reclaimed water: the time ratio of the dry water is 1: 3: 6. according to the characteristics of formation of the cliff group delta in the research area and the flow proportion of flood, reclaimed water and dry water of the natural river, the river flood entering sea of the braided river delta is designed: reclaimed water: the flow ratio of the dry water is 6: 3: 1. in the experiment, the flow rate in the flood period is set to be 1.0-1.2L/S, the flow rate in the middle water period is set to be 0.5-0.6L/S, and the flow rate in the dry period is set to be 0.2-0.3L/S. The ratio of the sand to the lignite is 8:1 in a flood period, 12:1 in a medium water period and 18:1 in a dry water period, and the ratio of the powdered coal to the granular coal is 3: 2. As shown in table 2:
TABLE 2 study area parameter design Table
The experimental result is shown in fig. 5, when organic matter is added in the experimental process, the hydrodynamic force of the river channel is strong, and the organic matter is not easy to exist, but the early river channel is in a late river channel, and the organic matter is deposited at the river channel (the early river channel) due to overflowing deposition.
As shown in fig. 6, the cross section is sliced at 0.25m intervals, and then, Y is 3.75m, Y is 3.5m, Y is 3.25m, Y is 3m, Y is 2.75m, Y is 2.5m, Y is 2.25m, Y is 2m, Y is 1.75m, Y is 1.5m, Y is 1.25m, and Y is 1m, so that 12 cross sections are obtained; the longitudinal sections were cut at 0.75m intervals, and X was 0.75m, 1.5m, and 2.25m in this order, to give 3 longitudinal sections. Since the near object source region is usually mainly vertical-direction additive product, no obvious deposition phenomenon exists, and the deposition range of the near object source region is small, so that the position where Y is 0-1m has no slicing value.
The cross section Y of 2.75m is the delta front area, as shown in fig. 7, and the Run1 stage deposit thickness is the largest, about half of the total thickness, as seen in the cross section. Among other deposition processes, the Run2-2 deposition period is equivalent to the Run2-3 deposition period, and the Run2-1 deposition period is the smallest. Run1 has frequent riverway swinging in the front edge area and obvious lateral additive product, and at each deposition period interface, the later-stage sediment covers organic matters which are layered and distributed in the early stage and is stored, so that a more obvious coal line is formed.
As shown in fig. 8, the longitudinal section X is 0.75m, and it can be seen that a stable black organic matter deposition layer exists on the deposition surface layer in Run1 period between Y and 3.0-3.75 m, and the organic matter deposition layer stably extends in the water direction, because the water flow dynamics is weakened after the river flows into the sea, and the organic matter is easy to deposit in a relatively low-energy environment, so the shallow sea area after the river enters the sea is an advantageous area for organic matter deposition. And obvious organic matter strips exist at the bottoms of the Run2-1, the Run2-2 and the Run2-3 when the Y is 2.0-3.0 m, and the early-stage organic matter deposition is an underwater area, and after the early-stage organic matter deposition, later-stage deposits cover the early-stage organic matter under the hydrodynamic condition that the front edge is relatively low in energy, so that the organic matter is stored. In a near-object source region with Y being 1.0-2.0 m, partial black organic matter strips exist on sections at two sides, because organic matters are deposited at overflow parts at two sides in a low-energy overflow deposition environment, and then the deposits are quickly accumulated and buried under the condition of large supply of the source in a flood period, so that the organic matters are preserved.
At the position of the main river channel in the middle, the hydrodynamic force condition is stronger, so the river channel is easy to be corroded and damaged and cannot be stored. In each deposition period, because a diversion river does not develop in a near-object source region, sand bodies are mainly accumulated in a vertical direction; the forward product feature gradually appears in the direction of the leading edge. When vertical accumulation is mainly performed, the bottom scouring action is strong, and the preservation of organic matters is not facilitated, and when lateral accumulation is performed, the preservation of organic matters deposited at the bottom in an early stage is facilitated. As can be seen from the section, the sediment body has a distinct prosodic structure and is a reverse prosodic whole as a whole. Is a typical deposition characteristic of delta. And organic matters are concentrated at the bottom of the front edge deposition of the delta, and have obvious particle affinity compared with low-energy argillaceous deposition parts.
In the embodiment, experimental boundary conditions are designed on the basis of the geological background of an actual research area, so that forward modeling simulation of the deposition and storage process of the land-source organic matter in the research area is realized, a favorable enrichment area of the land-source organic matter can be determined according to the experimental result, and guidance on the prediction of the hydrocarbon source rock in the research area is realized. The needed basic data of the research area are less, the method is simple and quick, and the deposition simulation result is visual and easy to analyze.
Based on the same inventive concept, the embodiment of the present application further provides a device for determining land source organic matter distribution, as described in the following embodiments. Because the principle of solving the problems of the land-source organic matter distribution determining device is similar to that of the land-source organic matter distribution determining method, the implementation of the land-source organic matter distribution determining device can refer to the implementation of the land-source organic matter distribution determining method, and repeated details are not repeated. As used hereinafter, the term "unit" or "module" may be a combination of software and/or hardware that implements a predetermined function. Although the means described in the embodiments below are preferably implemented in software, an implementation in hardware, or a combination of software and hardware is also possible and contemplated. Fig. 9 is a block diagram of a structure of a land-source organic matter distribution determining apparatus according to an embodiment of the present application, and as shown in fig. 9, the land-source organic matter distribution determining apparatus may include: an obtaining module 901, a first determining module 902, a processing module 903, a second determining module 904, and a deposition simulation module 905, which are described below.
The obtaining module 901 may be configured to obtain geological structure characteristic data and organic matter abundance data of a target work area;
the first determining module 902 may be configured to determine a simulation scale and a base form according to geological structure characteristic data of a target work area;
the processing module 903 may be configured to perform sequence stratum analysis on the target work area, and determine a plurality of water entry periods of the deposition simulation according to a sequence stratum analysis result;
a second determining module 904, configured to determine a ratio of sand to organic matter according to the organic matter abundance data;
the deposition simulation module 905 may be configured to perform deposition simulation of organic matter distribution in multiple water intake periods according to the simulation scale and the bottom model, the ratio of sand to organic matter, and the preset water addition amount and hydrodynamic strength, so as to obtain an organic matter distribution state of the target work area.
In one embodiment, the determining device for land source organic matter distribution may further include: the first acquisition unit is used for acquiring the granularity analysis data of the depth section corresponding to each water intake period of the target work area; the first determining unit is used for determining the proportion of each grain size sand in the various grain size sands in each water intake period according to the grain size analysis data of the depth section corresponding to each water intake period of the target work area.
In one embodiment, the deposition simulation module 905 may include: the second acquisition unit is used for acquiring the source supply data of the target work area; the second determining unit is used for determining the sand adding amount of each water inlet period according to the material source supply data; the third determining unit is used for determining the quantity of the sand with various granularities and the organic matters which need to be added in each water intake period according to the sand adding quantity of each water intake period, the proportion of the sand with various granularities in each water intake period and the proportion of the sand and the organic matters; the processing unit is used for uniformly mixing the sand with various particle sizes and the organic matters which are required to be added in each water inflow period according to the determined quantity of the sand with various particle sizes and the organic matters which are required to be added in each water inflow period; and the deposition simulation unit is used for continuously adding water according to the preset water adding amount and hydrodynamic strength in a plurality of water inflow periods of the deposition simulation, continuously adding the uniformly mixed sand with various particle sizes and organic matters according to the quantity of the sand with various particle sizes and the organic matters required to be added in each water inflow period, and performing the deposition simulation of organic matter distribution.
In one embodiment, the determining device for land source organic matter distribution may further include: the first slicing unit is used for slicing the cross section of the simulation result of the deposition simulation according to a first interval to obtain first slice data; the second slicing unit is used for slicing the longitudinal section of the simulation result of the deposition simulation according to a second interval to obtain second slicing data; and the fourth determining unit is used for determining a target area of organic matter deposition according to the first slice data and the second slice data.
The embodiment of the present application further provides a network device, which may specifically refer to a schematic structural diagram of a network device based on the determination method of land-source organic matter distribution provided in the embodiment of the present application, shown in fig. 10, where the network device may specifically include an input device 101, a processor 102, and a memory 103. The input device 101 may be specifically configured to input geological structure characteristic data and organic matter abundance data of a target work area. The processor 102 may be specifically configured to determine a simulation scale and a base form according to the geological structure characteristic data of the target work area; performing sequence stratum analysis on the target work area, and determining a plurality of water intake periods of deposition simulation according to the sequence stratum analysis result; determining the proportion of the sand and the organic matters according to the abundance data of the organic matters; and performing deposition simulation of organic matter distribution in multiple water intake periods according to the simulation scale and the bottom model, the ratio of sand to organic matter, and preset water addition amount and hydrodynamic strength to obtain the organic matter distribution state of the target work area. The memory 103 may be specifically configured to store parameters such as a simulation scale and a bottom model, a sedimentation simulation, a ratio of sand to organic matter, a preset water addition amount, and a plurality of water intake periods of hydrodynamic strength.
In this embodiment, the input device may be one of the main apparatuses for information exchange between a user and a computer system. The input devices may include a keyboard, mouse, camera, scanner, light pen, handwriting input panel, voice input device, etc.; the input device is used to input raw data and a program for processing the data into the computer. The input device can also acquire and receive data transmitted by other modules, units and devices. The processor may be implemented in any suitable way. For example, the processor may take the form of, for example, a microprocessor or processor and a computer-readable medium that stores computer-readable program code (e.g., software or firmware) executable by the (micro) processor, logic gates, switches, an Application Specific Integrated Circuit (ASIC), a programmable logic controller, an embedded microcontroller, and so forth. The memory may in particular be a memory device used in modern information technology for storing information. The memory may include multiple levels, and in a digital system, memory may be used as long as binary data can be stored; in an integrated circuit, a circuit without a physical form and with a storage function is also called a memory, such as a RAM, a FIFO and the like; in the system, the storage device in physical form is also called a memory, such as a memory bank, a TF card and the like.
In this embodiment, the functions and effects specifically realized by the network device may be explained in comparison with other embodiments, and are not described herein again.
The embodiment of the application also provides a computer storage medium based on a land source organic matter distribution determination method, the computer storage medium stores computer program instructions, and when the computer program instructions are executed, the computer storage medium can realize: acquiring geological structure characteristic data and organic matter abundance data of a target work area; determining a simulation scale and a bottom model according to geological structure characteristic data of a target work area; performing sequence stratum analysis on the target work area, and determining a plurality of water intake periods of deposition simulation according to the sequence stratum analysis result; determining the proportion of the sand and the organic matters according to the abundance data of the organic matters; and performing deposition simulation of organic matter distribution in multiple water intake periods according to the simulation scale and the bottom model, the ratio of sand to organic matter, and preset water addition amount and hydrodynamic strength to obtain the organic matter distribution state of the target work area.
In this embodiment, the storage medium includes, but is not limited to, a Random Access Memory (RAM), a Read-Only Memory (ROM), a Cache (Cache), a Hard Disk Drive (HDD), or a Memory Card (Memory Card). The memory may be used to store computer program instructions. The network communication unit may be an interface for performing network connection communication, which is set in accordance with a standard prescribed by a communication protocol.
In this embodiment, the functions and effects specifically realized by the program instructions stored in the computer storage medium can be explained by comparing with other embodiments, and are not described herein again.
It will be apparent to those skilled in the art that the modules or steps of the embodiments of the present application described above may be implemented by a general purpose computing device, they may be centralized on a single computing device or distributed across a network of multiple computing devices, and alternatively, they may be implemented by program code executable by a computing device, such that they may be stored in a storage device and executed by a computing device, and in some cases, the steps shown or described may be performed in an order different from that described herein, or they may be separately fabricated into individual integrated circuit modules, or multiple ones of them may be fabricated into a single integrated circuit module. Thus, embodiments of the present application are not limited to any specific combination of hardware and software.
Although the present application provides method steps as described in the above embodiments or flowcharts, additional or fewer steps may be included in the method, based on conventional or non-inventive efforts. In the case of steps where no necessary causal relationship exists logically, the order of execution of the steps is not limited to that provided by the embodiments of the present application. When the method is executed in an actual device or end product, the method can be executed sequentially or in parallel according to the embodiment or the method shown in the figure (for example, in the environment of a parallel processor or a multi-thread processing).
It is to be understood that the above description is intended to be illustrative, and not restrictive. Many embodiments and many applications other than the examples provided will be apparent to those of skill in the art upon reading the above description. The scope of the application should, therefore, be determined not with reference to the above description, but instead should be determined with reference to the pending claims along with the full scope of equivalents to which such claims are entitled.
The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and it will be apparent to those skilled in the art that various modifications and variations can be made in the embodiment of the present application. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.
Claims (9)
1. A method for determining land-source organic matter distribution is characterized by comprising the following steps:
acquiring geological structure characteristic data and organic matter abundance data of a target work area;
determining a simulation scale and a bottom model according to the geological structure characteristic data of the target work area;
performing sequence stratum analysis on the target work area, and determining a plurality of water intake periods of deposition simulation according to the sequence stratum analysis result;
determining the proportion of sand to organic matters according to the organic matter abundance data;
performing deposition simulation of organic matter distribution in the multiple water intake periods according to the simulation scale and the bottom model, the ratio of the sand to the organic matter, and preset water addition amount and hydrodynamic strength to obtain an organic matter distribution state of the target work area;
wherein after determining a plurality of water intake periods for a deposition simulation from the sequence analysis results, further comprising: acquiring granularity analysis data of depth sections corresponding to the target work area in each water inflow period; determining the proportion of each grain size sand in the various grain size sands in each water inflow period according to the grain size analysis data of the depth section corresponding to each water inflow period of the target work area;
according to the simulation scale and the bottom model, the ratio of the sand to the organic matters, the preset water adding amount and hydrodynamic strength, deposition simulation of organic matter distribution is carried out in the multiple water intake periods, and the method comprises the following steps: acquiring source supply data of a target work area; determining the sand adding amount of each water inlet period according to the material source supply data; determining the quantity of the sand with various granularities and the organic matters which need to be added in each water intake period according to the sand adding quantity of each water intake period, the proportion among the sand with various granularities in each water intake period and the proportion of the sand and the organic matters; uniformly mixing the sand with various particle sizes and the organic matters which are required to be added in each water inflow period according to the determined quantity of the sand with various particle sizes and the organic matters which are required to be added in each water inflow period; and continuously adding water according to the preset water adding amount and hydrodynamic strength in a plurality of water inflow periods of the deposition simulation, and continuously adding the uniformly mixed sand with various granularities and organic matters according to the quantity of the sand with various granularities and the organic matters which need to be added in each water inflow period to perform the deposition simulation of the distribution of the organic matters.
2. The method of claim 1, wherein the plurality of grit sizes includes at least one of: gravel, medium sand, coarse sand, fine sand and mud.
3. The method of claim 1, wherein continuously adding water according to the predetermined water addition and hydrodynamic strength over a plurality of water intake periods of the sedimentation simulation comprises:
and in each water inflow period of the deposition simulation, continuously adding water by taking a flood period, a water leveling period and a dry period as a circulation period.
4. The method of claim 1, further comprising, after performing the deposition simulation of the organic matter distribution:
slicing a cross section of a simulation result of the deposition simulation according to a first interval to obtain first slice data;
slicing the longitudinal section of the simulation result of the deposition simulation according to a second interval to obtain second slice data;
and determining a target area for organic matter deposition according to the first slice data and the second slice data.
5. The method of claim 1, wherein the proportioning of sand and organic matter comprises: proportioning of sand and lignite.
6. The method of claim 5, wherein the lignite comprises: the brown coal comprises powdery brown coal and granular brown coal, wherein the ratio of the powdery brown coal to the granular brown coal is 3: 2.
7. An apparatus for determining land-source organic matter distribution, comprising:
the acquisition module is used for acquiring geological structure characteristic data and organic matter abundance data of a target work area;
the first determination module is used for determining a simulation scale and a bottom model according to the geological structure characteristic data of the target work area;
the processing module is used for carrying out sequence stratum analysis on the target work area and determining a plurality of water intake periods of deposition simulation according to the sequence stratum analysis result;
the second determination module is used for determining the proportion of the sand to the organic matters according to the abundance data of the organic matters;
the deposition simulation module is used for performing deposition simulation of organic matter distribution in the multiple water intake periods according to the simulation scale and the bottom model, the ratio of the sand to the organic matter, and preset water addition amount and hydrodynamic strength to obtain an organic matter distribution state of the target work area;
wherein, the land source organic matter distribution determining device further comprises: the first acquisition unit is used for acquiring the granularity analysis data of the depth section corresponding to each water intake period of the target work area; the first determining unit is used for determining the proportion of each grain size sand in the various grain size sands in each water inflow period according to the grain size analysis data of the depth section corresponding to each water inflow period of the target work area;
the deposition simulation module includes: the second acquisition unit is used for acquiring the source supply data of the target work area; the second determining unit is used for determining the sand adding amount of each water inlet period according to the material source supply data; a third determining unit, configured to determine, according to the sand adding amount of each water intake period, the proportion between multiple types of grit sand in each water intake period, and the ratio between sand and organic matter, the number of multiple types of grit sand and organic matter that need to be added in each water intake period; the processing unit is used for uniformly mixing the sand with various particle sizes and the organic matters which are required to be added in each water inflow period according to the determined quantity of the sand with various particle sizes and the organic matters which are required to be added in each water inflow period; and the deposition simulation unit is used for continuously adding water according to the preset water adding amount and hydrodynamic strength in a plurality of water inflow periods of the deposition simulation, continuously adding the uniformly mixed sand with various particle sizes and organic matters according to the number of the sand with various particle sizes and the organic matters required to be added in each water inflow period, and performing deposition simulation on organic matter distribution.
8. A network device comprising a processor and a memory for storing processor-executable instructions that, when executed by the processor, implement the steps of the method of any one of claims 1 to 6.
9. A computer readable storage medium having stored thereon computer instructions which, when executed, implement the steps of the method of any one of claims 1 to 6.
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2014040622A1 (en) * | 2012-09-12 | 2014-03-20 | Bp Exploration Operating Company Limited | System and method for determining retained hydrocarbon fluid |
| CN105527660A (en) * | 2016-01-11 | 2016-04-27 | 中国石油大学(华东) | High-over mature stage out-of-source disperse dissoluble organic matter gas generation quantitative evaluation method |
| CN105822301A (en) * | 2016-03-23 | 2016-08-03 | 中国石油大学(北京) | Method for establishing logging prediction mathematic model about TOC (Total Organic Carbon) |
| US10012748B2 (en) * | 2013-07-31 | 2018-07-03 | Schlumberger Technology Corporation | Resource production forecasting |
| CN108629130A (en) * | 2018-05-10 | 2018-10-09 | 山东科技大学 | The method for determining the control Lu Yuan dispersed organic matters distribution delta regime outer rim gradient |
| CN110068877A (en) * | 2019-04-25 | 2019-07-30 | 中国石油大学(华东) | The quantitative evaluation method of terrigenous organic matter input |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US10094815B2 (en) * | 2014-09-18 | 2018-10-09 | Exxonmobil Upstream Research Company | Method to enhance exploration, development and production of hydrocarbons using multiply substituted isotopologue geochemistry, basin modeling and molecular kinetics |
-
2019
- 2019-09-19 CN CN201910884984.7A patent/CN110646843B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2014040622A1 (en) * | 2012-09-12 | 2014-03-20 | Bp Exploration Operating Company Limited | System and method for determining retained hydrocarbon fluid |
| US10012748B2 (en) * | 2013-07-31 | 2018-07-03 | Schlumberger Technology Corporation | Resource production forecasting |
| CN105527660A (en) * | 2016-01-11 | 2016-04-27 | 中国石油大学(华东) | High-over mature stage out-of-source disperse dissoluble organic matter gas generation quantitative evaluation method |
| CN105822301A (en) * | 2016-03-23 | 2016-08-03 | 中国石油大学(北京) | Method for establishing logging prediction mathematic model about TOC (Total Organic Carbon) |
| CN108629130A (en) * | 2018-05-10 | 2018-10-09 | 山东科技大学 | The method for determining the control Lu Yuan dispersed organic matters distribution delta regime outer rim gradient |
| CN110068877A (en) * | 2019-04-25 | 2019-07-30 | 中国石油大学(华东) | The quantitative evaluation method of terrigenous organic matter input |
Non-Patent Citations (1)
| Title |
|---|
| "页岩储层有机质分布定量分析及重构模型";张爽 等;《油气地质与采收率》;20160331;第23卷(第2期);第22-28页 * |
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