Method and device for analyzing rock resistivity of glauconite sandstone

Abstract

The invention belongs to the technical field of petroleum and natural gas exploration and development, and provides a method and a device for analyzing the rock resistivity of glauconite sandstone. Generating a first relation curve and a second relation curve according to the different glauconite content conditions, the rock water saturation of the glauconite sandstone, the rock resistivity of the glauconite sandstone and the rock resistance increase rate of the glauconite sandstone corresponding to the different glauconite content conditions; and analyzing the change trend and the change degree of the rock resistivity and the rock resistance increase rate of the glauconite sandstone to obtain an analysis result. According to the analysis method provided by the embodiment of the invention, quantitative analysis can be carried out on the low-resistivity cause of the glauconite sandstone stratum, and the influence and degree of the change of the content of glauconite, the change of the rock resistivity of the glauconite sandstone and the change of the rock resistance increasing rate can be quantitatively judged.

Description

TECHNICAL FIELD

[0001] The present disclosure belongs to the technical field of oil and gas exploration and development, and particularly relates to a method and device for analyzing rock resistivity of glauconite sandstone. BACKGROUND

[0002] In the field of oil and gas exploration, glauconite sandstone oil layers have great concealment, that is, the logging oil and gas display level is low, the logging response is low resistivity, the conventional logging interpretation is non-oil layer or poor oil layer, etc. Using the logging analysis parameters of the reservoirs in the adjacent section, the application of acoustic wave, neutron porosity and density logging often greatly underestimates the porosity of the rock, combined with the low resistivity characteristics of the oil layer, the conventional method is difficult to effectively identify the glauconite sandstone oil layer.

[0003] In the process of exploration and development, empirical formula is often used to carry out logging analysis of glauconite sandstone low-resistivity reservoirs. However, the low resistivity of glauconite sandstone is complex in origin, which restricts the accuracy of quantitative analysis of logging in identifying oil and gas.

[0004] Therefore, how to quantitatively analyze the low resistivity origin of glauconite sandstone formation is a technical problem to be solved. SUMMARY

[0005] Therefore, it is necessary to provide a method and device for analyzing rock resistivity of glauconite sandstone, a storage medium and equipment in view of the defects that the existing method cannot quantitatively analyze the low resistivity origin of glauconite sandstone formation.

[0006] In a first aspect, the present application provides a method for analyzing rock resistivity of glauconite sandstone, which comprises:

[0007] Constructing a resistivity model of green glauconite sandstone including a plurality of model components;

[0008] Based on the resistivity model of green glauconite sandstone, calculating the rock water saturation of the glauconite sandstone, the rock resistivity of the glauconite sandstone and the rock resistivity increase rate of the glauconite sandstone corresponding to different glauconite content conditions;

[0009] Based on the simulation conditions of the simulation curve and the rock water saturation of the glauconite sandstone, the rock resistivity of the glauconite sandstone and the rock resistivity increase rate of the glauconite sandstone corresponding to different glauconite content conditions, a first relationship curve and a second relationship curve are generated, the first relationship curve is a relationship curve between the rock resistivity of the glauconite sandstone and the rock water saturation of the glauconite sandstone under different glauconite content conditions, and the second relationship curve is a relationship curve between the rock resistivity increase rate of the glauconite sandstone and the rock water saturation of the glauconite sandstone under different glauconite content conditions;

[0010] Based on the relationship curve, the change trend and change degree of the rock resistivity and the rock resistivity increase rate of the glauconite sandstone under different glauconite content conditions are analyzed to obtain an analysis result, the relationship curve including the first relationship curve and the second relationship curve.

[0011] Optionally, the analysis result based on the relationship curve, the change trend and change degree of the rock resistivity and the rock resistivity increase rate of the glauconite sandstone under different glauconite content conditions, includes:

[0012] Based on the first relationship curve, the first change trend and the first change degree of the rock resistivity of the glauconite sandstone under different glauconite content conditions are analyzed to obtain a first analysis result.

[0013] Based on the second relationship curve, the second change trend and the second change degree of the rock resistivity increase rate of the glauconite sandstone under different glauconite content conditions are analyzed to obtain a second analysis result.

[0014] Optionally, the first analysis result based on the first relationship curve, the first change trend and the first change degree of the rock resistivity of the glauconite sandstone under different glauconite content conditions, includes:

[0015] Based on the first relationship curve, the change trend between the rock resistivity of the glauconite sandstone and the rock water saturation of the glauconite sandstone under different glauconite content conditions is analyzed to obtain the first analysis result, the first analysis result including: if the glauconite content increases, the rock resistivity of the corresponding glauconite sandstone presents a decreasing trend, and the rock resistivity of the glauconite sandstone under low rock water saturation conditions decreases significantly.

[0016] Optionally, the second analysis result based on the second relationship curve, the second change trend and the second change degree of the rock resistivity increase rate of the glauconite sandstone under different glauconite content conditions, includes:

[0017] Based on the second relationship curve, the change trend between the rock resistivity increase rate of the glauconite sandstone and the rock water saturation of the glauconite sandstone under different glauconite content conditions is analyzed to obtain the second analysis result, the second analysis result including: if the glauconite content increases, the rock resistivity increase rate of the corresponding glauconite sandstone presents a decreasing trend, and the rock resistivity increase rate of the glauconite sandstone under low rock water saturation conditions decreases significantly.

[0018] Optionally, the resistivity model of the glauconite sandstone including a plurality of model components includes:

[0019] obtaining a plurality of mineral parameters associated with a mineral composition of the glauconite sandstone, the plurality of mineral parameters comprising: framework grains, interstitial components, contents of various minerals, and spatial distributions of the various minerals;

[0020] based on the plurality of mineral parameters, constructing a resistivity model of the glauconite sandstone comprising a plurality of model components, the plurality of model components comprising: quartz grains, glauconite grains, dispersed clay, electrically non-conductive oil and gas, movable water, and micro-pore water.

[0021] Optionally, the method further comprises:

[0022] reading a plurality of simulation parameters employed by the simulation condition;

[0023] the plurality of simulation parameters comprising: a simulated content of dispersed clay for the electrically non-conductive sandstone framework of the glauconite sandstone, a simulated porosity of the glauconite sandstone, a simulated formation water conductivity, a simulated framework filtration rate, a simulated framework filtration index, a simulated micro-pore water filtration index, and a simulated micro-pore water filtration rate.

[0024] Optionally, the method further comprises:

[0025] obtaining rock water saturation of the glauconite sandstone, rock resistivity of the glauconite sandstone, and rock resistivity increase rate of the glauconite sandstone corresponding to different glauconite content conditions;

[0026] based on the rock water saturation of the glauconite sandstone and the rock resistivity of the glauconite sandstone corresponding to different glauconite content conditions, establishing a first relationship database to generate the first relationship curve based on each first data in the first relationship database;

[0027] based on the rock water saturation of the glauconite sandstone and the rock resistivity increase rate of the glauconite sandstone corresponding to different glauconite content conditions, establishing a second relationship database to generate the second relationship curve based on each second data in the second relationship database.

[0028] In a second aspect, an embodiment of the present application provides an analysis device for rock resistivity of a glauconite sandstone, the device comprising:

[0029] a model construction module configured to construct a resistivity model of the glauconite sandstone comprising a plurality of model components;

[0030] a calculation module configured to calculate, based on the resistivity model of the glauconite sandstone, rock water saturation of the glauconite sandstone, rock resistivity of the glauconite sandstone, and rock resistivity increase rate of the glauconite sandstone corresponding to different glauconite content conditions;

[0031] The generating module is configured to generate a first relationship curve and a second relationship curve based on the simulation condition of the simulation curve and the rock water saturation of the glauconite sandstone, the rock resistivity of the glauconite sandstone and the rock resistivity increase rate of the glauconite sandstone corresponding to different glauconite content conditions, the first relationship curve being a relationship curve between the rock resistivity of the glauconite sandstone and the rock water saturation of the glauconite sandstone under different glauconite content conditions, and the second relationship curve being a relationship curve between the rock resistivity increase rate of the glauconite sandstone and the rock water saturation of the glauconite sandstone under different glauconite content conditions.

[0032] The analyzing module is configured to analyze the change trend and the change degree of the rock resistivity and the rock resistivity increase rate of the glauconite sandstone under different glauconite content conditions based on the relationship curve, the relationship curve including the first relationship curve and the second relationship curve, and obtain an analysis result.

[0033] In a third aspect, an embodiment of the present application provides a computer readable storage medium, which stores a computer program, and the computer program is used to execute the method steps described above.

[0034] In a fourth aspect, an embodiment of the present application provides an electronic device, which comprises:

[0035] a processor;

[0036] a memory configured to store executable instructions of the processor;

[0037] the processor is configured to read the executable instructions from the memory and execute the executable instructions to realize the method steps described above.

[0038] In the embodiment of the present application, a resistivity model of the glauconite sandstone including a plurality of model components is constructed; based on the resistivity model of the glauconite sandstone, rock water saturation of the glauconite sandstone, rock resistivity of the glauconite sandstone and rock resistivity increase rate of the glauconite sandstone corresponding to different glauconite contents are calculated; based on the simulation conditions of the simulation curve and the rock water saturation of the glauconite sandstone, the rock resistivity of the glauconite sandstone and the rock resistivity increase rate of the glauconite sandstone corresponding to different glauconite contents, a first relationship curve and a second relationship curve are generated; and based on the relationship curves, the change trend and the change degree of the rock resistivity of the glauconite sandstone and the rock resistivity increase rate of the glauconite sandstone under different glauconite contents are analyzed to obtain an analysis result. The analysis method of the rock resistivity of the glauconite sandstone provided in the embodiment of the present application can quantitatively analyze the low resistivity causes of the glauconite sandstone formation, quantitatively determine the glauconite content change, and determine the influence and degree of the rock resistivity change and the rock resistivity increase rate change of the glauconite sandstone. In addition, the analysis method provided in the embodiment of the present application can effectively improve the identification accuracy of the glauconite sandstone oil layer. BRIEF DESCRIPTION OF DRAWINGS

[0039] The exemplary embodiments of this application can be more fully understood with reference to the accompanying drawings and description in which:

[0040] Figure 1 The flow chart of the analysis method of the rock resistivity of the glauconite sandstone according to an exemplary embodiment of the present application is shown in FIG. 5;

[0041] Figure 2 The mineral and its distribution microstructure of the glauconite sandstone under the scanning electron microscope is shown in FIG. 6;

[0042] Figure 3 The schematic diagram of the influence of different glauconite contents on the relationship between the rock resistivity of the glauconite sandstone and the rock water saturation of the glauconite sandstone is shown in FIG. 7;

[0043] Figure 4 The schematic diagram of the influence of different glauconite contents on the relationship between the rock resistivity increase rate of the glauconite sandstone and the rock water saturation of the glauconite sandstone is shown in FIG. 8;

[0044] Figure 5 The structural schematic diagram of the analysis device 500 of the rock resistivity of the glauconite sandstone according to an exemplary embodiment of the present application is shown in FIG. 9. DETAILED DESCRIPTION

[0045] Exemplary embodiments of the present disclosure will be described in greater detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it is understood that the present disclosure can be embodied in various forms without being limited by the embodiments set forth herein. Rather, these embodiments are provided so that the present disclosure will be thorough and complete, and will fully convey the scope of the present disclosure to those skilled in the art.

[0046] It should be noted that the technical terms or scientific terms used in the present disclosure should be understood as the general meanings understood by those skilled in the art, unless otherwise specified.

[0047] In addition, the terms "first" and "second" and the like are used to distinguish different objects, rather than to describe a particular order. Furthermore, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, device, product, or apparatus including a series of steps or units is not limited to the listed steps or units, but can optionally further include steps or units not listed, or can optionally further include other steps or units inherent to such processes, methods, products, or apparatuses.

[0048] The present application provides a method and device for analyzing rock resistivity of glauconite sandstone, an electronic device, and a computer readable medium, which are described below with reference to the accompanying drawings.

[0049] Embodiment 1

[0050] Reference is made to Figure 1 which shows a flowchart of a method for analyzing rock resistivity of glauconite sandstone provided by some embodiments of the present application, as shown in Figure 1 The method for analyzing rock resistivity of glauconite sandstone can include the following steps:

[0051] Rock resistivity is related to the resistivity, content, distribution, and particle surface characteristics of the minerals that make up the rock. Due to the complexity of the mineral composition and surface characteristics of glauconite sandstone, the fluid occurrence forms between minerals are diverse. Among them, glauconite minerals, as part of the rock framework, also have the characteristics of rough surface of clay minerals, etc. The influence on the resistivity of glauconite sandstone formation lacks systematic research, which restricts the understanding of the low resistivity of glauconite sandstone oil layer and affects the accuracy of logging quantitative evaluation of its oil and gas content. Therefore, quantitative analysis of glauconite sandstone resistivity based on glauconite content variation is a key link to reveal the low resistivity of glauconite sandstone oil layer.

[0052] The method for analyzing rock resistivity of glauconite sandstone provided by the embodiment of the application comprises the following steps: constructing a resistivity model of glauconite sandstone, the resistivity model being suitable for a mixed medium of a glauconite sandstone oil layer, and simulating a relationship curve of RI-Sw (a rock resistivity increase rate of the glauconite sandstone and a rock water saturation of the glauconite sandstone) and Rt-Sw (a rock resistivity of the glauconite sandstone and the rock water saturation of the glauconite sandstone) based on a change of a glauconite content, so as to determine an influence and a degree of the change of the glauconite content on the rock resistivity and the rock increase rate of the glauconite sandstone, and to provide support for a cause study of low resistivity of the glauconite sandstone.

[0053] It should be noted that the Rt refers to a rock resistivity when all water is contained in a rock pore; a resistivity when oil and gas are contained in the rock pore is increased compared with the resistivity when all water is contained in the rock pore, and a multiple of the increase is called a rock resistivity increase rate (RI); and the Sw is a rock water saturation.

[0054] The purpose of the application is to provide a simulation of a relationship curve of RI-Sw (a rock resistivity increase rate of the glauconite sandstone and a rock water saturation of the glauconite sandstone) and Rt-Sw (a rock resistivity of the glauconite sandstone and the rock water saturation of the glauconite sandstone) based on a change of a glauconite content by establishing a resistivity model of a mixed medium suitable for a glauconite sandstone oil layer, so as to determine an influence and a degree of the change of the glauconite content on the rock resistivity and the rock increase rate of the glauconite sandstone, and to provide support for a cause study of low resistivity of the glauconite sandstone.

[0055] Step S101: constructing a resistivity model of glauconite sandstone comprising a plurality of model components.

[0056] In an actual application scenario, a model algorithm used in the resistivity model of the glauconite sandstone is specifically shown in the formula (1),

[0057]

[0058] In the formula (1), V sa , V gl , V cl , respectively represent relative contents of sandstone particles, glauconite particles, dispersed clay particles, oil beads, movable water and micro-pore water; C sa , C gl , C cl , C h , C w , C wc respectively represent conductivities of the sandstone particles, the glauconite particles, the dispersed clay, the oil, the movable water and the micro-pore water, C t is a conductivity of the glauconite argillaceous sandstone reservoir, and C ogThe conductivity of the virtual medium is S / m;

[0059] The calculation of C og The calculation formula of the conductivity of the virtual medium is specifically shown in formula (2),

[0060]

[0061] In the above formula (2), λ sa , λ gl , λ cl , λ h , λ w , λ wc are the filtration rates of the sandstone particles, the chlorite particles, the dispersed clay particles, the oil droplets, the movable water, and the micro-pore water in the chlorite shale, respectively, λ is the matrix filtration rate, γ1 is the matrix filtration index, and γ2 is the micro-pore water filtration index, all of which are dimensionless. The above formula (1) and formula (2) constitute a quantitative expression of the resistivity model of the chlorite shale.

[0062] In a possible implementation, the resistivity model of the chlorite shale including multiple model components is constructed, including the following steps.

[0063] A plurality of mineral parameters associated with the mineral composition of the chlorite shale are obtained, and the plurality of mineral parameters include the matrix particles, the interstitial components, the contents of various minerals, and the spatial distribution of various minerals.

[0064] Based on the plurality of mineral parameters, the resistivity model of the chlorite shale including multiple model components is constructed, and the multiple model components include the quartz particles, the chlorite particles, the dispersed clay, the non-conductive oil and gas, the movable water, and the micro-pore water.

[0065] As shown in FIG. 1, the mineral and distribution microstructure diagram of the chlorite shale under a scanning electron microscope. Figure 2 As shown in FIG. 1, the mineral and distribution microstructure diagram of the chlorite shale under a scanning electron microscope. Figure 2 As shown in FIG. 1, the mineral and distribution microstructure diagram of the chlorite shale under a scanning electron microscope.

[0066] Step S102: Based on the resistivity model of the chlorite shale, the rock water saturation of the chlorite shale, the rock resistivity of the chlorite shale, and the rock resistivity increase rate of the chlorite shale corresponding to different chlorite contents are calculated.

[0067] The algorithm formula used for the resistivity model of the chlorite shale is described in the foregoing same or similar parts, and will not be described herein again.

[0068] Step S103: generating a first relationship curve and a second relationship curve based on the simulation condition of the simulation curve and the rock water saturation of the glauconite sandstone, the rock resistivity of the glauconite sandstone and the rock resistivity increase rate of the glauconite sandstone corresponding to different glauconite content conditions, the first relationship curve being a relationship curve between the rock resistivity of the glauconite sandstone and the rock water saturation of the glauconite sandstone under different glauconite content conditions, and the second relationship curve being a relationship curve between the rock resistivity increase rate of the glauconite sandstone and the rock water saturation of the glauconite sandstone under different glauconite content conditions.

[0069] In a specific application scenario, the simulation condition used can be as follows:

[0070] It is assumed that the sandstone matrix is not conductive and the dispersed clay content is 0, and other conditions are set as follows: porosity Phi is 0.2, formation water conductivity C w is 5 S / m, matrix filtration rate λ is 0.41, matrix filtration index γ1 is 1, micro-pore water filtration index γ2 is 2, and micro-pore water filtration rate λ wc is 1.8.

[0071] Step S104: analyzing the change trend and change degree of the rock resistivity and the rock resistivity increase rate of the glauconite sandstone under different glauconite content conditions based on the relationship curve, the relationship curve including the first relationship curve and the second relationship curve, to obtain an analysis result.

[0072] In an actual application scenario, a relationship graph of RI-Sw and a Rt-Sw relationship graph are obtained under different glauconite content conditions, and the corresponding value of the rock resistivity increase rate RI, the corresponding value of the rock resistivity Rt and their relative change trend are determined according to the relative position of the obtained simulation curve in the graph.

[0073] In a possible implementation, the change trend and change degree of the rock resistivity and the rock resistivity increase rate of the glauconite sandstone under different glauconite content conditions are analyzed based on the relationship curve to obtain an analysis result, including the following steps:

[0074] Based on the first relationship curve, the first change trend and the first change degree of the rock resistivity of the glauconite sandstone under different glauconite content conditions are analyzed to obtain a first analysis result.

[0075] Based on the second relationship curve, the second change trend and the second change degree of the rock resistivity increase rate of the glauconite sandstone under different glauconite content conditions are analyzed to obtain a second analysis result.

[0076] In a possible implementation, based on the first relationship curve, a first change trend and a first change degree of the rock resistivity of the glauconite sandstone under different glauconite content conditions are analyzed to obtain a first analysis result, including the following steps:

[0077] Based on the first relationship curve, a change trend between the rock resistivity of the glauconite sandstone and the rock water saturation of the glauconite sandstone under different glauconite content conditions is analyzed to obtain the first analysis result, and the first analysis result includes: if the glauconite content increases, the rock resistivity of the corresponding glauconite sandstone presents a decreasing trend, and the rock resistivity of the glauconite sandstone under a low rock water saturation condition decreases significantly.

[0078] As shown in Figure 3 , it is a schematic diagram of the influence of different glauconite contents on the relationship between the rock resistivity of the glauconite sandstone and the rock water saturation of the glauconite sandstone.

[0079] As shown in Figure 3 , with the increase of the glauconite content, the rock resistivity Rt presents a decreasing trend, and the rock resistivity decreases significantly under a low water saturation condition.

[0080] In a possible implementation, based on the second relationship curve, a second change trend and a second change degree of the rock resistivity increase rate of the glauconite sandstone under different glauconite content conditions are analyzed to obtain a second analysis result, including the following steps:

[0081] Based on the second relationship curve, a change trend between the rock resistivity increase rate of the glauconite sandstone and the rock water saturation of the glauconite sandstone under different glauconite content conditions is analyzed to obtain the second analysis result, and the second analysis result includes: if the glauconite content increases, the rock resistivity increase rate of the corresponding glauconite sandstone presents a decreasing trend, and the rock resistivity increase rate of the glauconite sandstone under a low rock water saturation condition decreases significantly.

[0082] As shown in Figure 4 , it is a schematic diagram of the influence of different glauconite contents on the relationship between the rock resistivity increase rate of the glauconite sandstone and the rock water saturation of the glauconite sandstone.

[0083] As shown in Figure 4 , with the increase of the glauconite content, the rock resistivity increase rate RI presents a decreasing trend, and the rock resistivity increase rate decreases significantly under a low water saturation condition.

[0084] The RI-Sw relationship curve ( Figure 4 ), the Rt-Sw relationship curve ( Figure 3It can be seen that, with the increase of the glauconite content, the rock resistance increase rate and the rock resistivity both gradually decrease, which is consistent with the actual logging response characteristics of the region.

[0085] In a possible implementation, the method for analyzing the rock resistivity of the glauconite sandstone provided by the embodiment of the present application can further include the following steps:

[0086] reading a plurality of simulation parameters used for simulating the analog condition;

[0087] The plurality of simulation parameters include: non-conductive sandstone skeleton of the glauconite sandstone, simulated content of dispersed clay, simulated porosity of the glauconite sandstone, simulated formation water conductivity, simulated skeleton filtration rate, simulated skeleton filtration index, simulated micro-pore water filtration index, and simulated micro-pore water filtration rate.

[0088] In an actual application scenario, the plurality of simulation parameters can be obtained according to core sample and reservoir characteristic analysis.

[0089] In a possible implementation, the method for analyzing the rock resistivity of the glauconite sandstone provided by the embodiment of the present application can further include the following steps:

[0090] obtaining the rock water saturation of the glauconite sandstone, the rock resistivity of the glauconite sandstone, and the rock resistance increase rate of the glauconite sandstone corresponding to different glauconite content conditions;

[0091] establishing a first relationship database based on the rock water saturation of the glauconite sandstone and the rock resistivity of the glauconite sandstone corresponding to different glauconite content conditions, to generate a first relationship curve based on each first data in the first relationship database;

[0092] establishing a second relationship database based on the rock water saturation of the glauconite sandstone and the rock resistance increase rate of the glauconite sandstone corresponding to different glauconite content conditions, to generate a second relationship curve based on each second data in the second relationship database.

[0093] The method for analyzing the rock resistivity of the glauconite sandstone provided by the embodiment of the present application can quantitatively analyze the low resistivity cause of the glauconite sandstone formation, quantitatively determine the glauconite content change, and determine the influence and degree of the rock resistivity change and the rock resistance increase rate change of the glauconite sandstone.

[0094] In the above embodiment, an analysis method of rock resistivity of glauconite sandstone is provided, and correspondingly, an analysis device of rock resistivity of glauconite sandstone is also provided. The analysis device of rock resistivity of glauconite sandstone provided by the embodiment can implement the analysis method of rock resistivity of glauconite sandstone, and can be implemented by software, hardware or a combination of software and hardware. For example, the analysis device of rock resistivity of glauconite sandstone can include integrated or separated functional modules or units to perform corresponding steps in the above methods.

[0095] Embodiment 2

[0096] Reference is made to Figure 5 which shows a schematic diagram of an analysis device of rock resistivity of glauconite sandstone provided by some embodiments of the present application. Since the device embodiments are basically similar to the method embodiments, they are described more simply, and the related parts can be referred to the part of the method embodiments. The device embodiments described below are only schematic.

[0097] As Figure 5 shown, the analysis device 500 of rock resistivity of glauconite sandstone can include:

[0098] a model construction module 501 configured to construct a resistivity model of glauconite sandstone including a plurality of model components;

[0099] a calculation module 502 configured to calculate, based on the resistivity model of glauconite sandstone, rock water saturation of the glauconite sandstone, rock resistivity of the glauconite sandstone and rock resistivity increase rate of the glauconite sandstone under different glauconite content conditions;

[0100] a generation module 503 configured to generate, based on a simulation condition of the simulation curve and the rock water saturation of the glauconite sandstone, the rock resistivity of the glauconite sandstone and the rock resistivity increase rate of the glauconite sandstone under different glauconite content conditions, a first relationship curve and a second relationship curve, the first relationship curve being a relationship curve between the rock resistivity of the glauconite sandstone and the rock water saturation of the glauconite sandstone under different glauconite content conditions, and the second relationship curve being a relationship curve between the rock resistivity increase rate of the glauconite sandstone and the rock water saturation of the glauconite sandstone under different glauconite content conditions;

[0101] an analysis module 504 configured to analyze, based on the relationship curves, a change trend and a change degree of the rock resistivity of the glauconite sandstone and the rock resistivity increase rate of the glauconite sandstone under different glauconite content conditions to obtain an analysis result, the relationship curves including the first relationship curve and the second relationship curve.

[0102] In some embodiments of the present application, the analysis module 504 is configured to:

[0103] Based on the first relationship curve, the first change trend and the first change degree of the rock resistivity of the glauconite sandstone under different glauconite content conditions are analyzed to obtain a first analysis result.

[0104] Based on the second relationship curve, the second change trend and the second change degree of the rock resistivity increase rate of the glauconite sandstone under different glauconite content conditions are analyzed to obtain a second analysis result.

[0105] In some embodiments of the present application, the analysis module 504 is specifically configured to:

[0106] Based on the first relationship curve, the change trend between the rock resistivity of the glauconite sandstone and the rock water saturation of the glauconite sandstone under different glauconite content conditions is analyzed to obtain a first analysis result, and the first analysis result includes: if the glauconite content increases, the rock resistivity of the corresponding glauconite sandstone presents a decreasing trend, and the rock resistivity of the glauconite sandstone under low rock water saturation conditions decreases significantly.

[0107] In some embodiments of the present application, the analysis module 504 is specifically configured to:

[0108] Based on the second relationship curve, the change trend between the rock resistivity increase rate of the glauconite sandstone and the rock water saturation of the glauconite sandstone under different glauconite content conditions is analyzed to obtain a second analysis result, and the second analysis result includes: if the glauconite content increases, the rock resistivity increase rate of the corresponding glauconite sandstone presents a decreasing trend, and the rock resistivity increase rate of the glauconite sandstone under low rock water saturation conditions decreases significantly.

[0109] In some embodiments of the present application, the model construction module 501 is specifically configured to:

[0110] Obtain a plurality of mineral parameters associated with the mineral composition of the glauconite sandstone, the plurality of mineral parameters including: framework grains, interstitial components, contents of various minerals, and spatial distributions of various minerals;

[0111] Based on the plurality of mineral parameters, construct a resistivity model of the glauconite sandstone including a plurality of model components, the plurality of model components including: quartz grains, glauconite grains, dispersed clay, non-conductive oil and gas, movable water, and micro-pore water.

[0112] In some embodiments of the present application, the analysis device 500 for rock resistivity of the glauconite sandstone can further include:

[0113] The reading module (inFigure 5 (Not shown in the image) is used to read multiple simulation parameters used in the simulation conditions; the multiple simulation parameters include: the sandstone skeleton of glauconite sandstone is non-conductive, the simulated content of dispersed clay, the simulated porosity of glauconite sandstone, the simulated formation water conductivity, the simulated skeleton infiltration rate, the simulated skeleton infiltration index, the simulated micropore water infiltration index, and the simulated micropore water infiltration rate.

[0114] In some embodiments of the present invention, the rock resistivity analysis device 500 for glauconite sandstone may further include:

[0115] Get module (in) Figure 5 (not shown in the figure) is used to obtain the water saturation, resistivity and resistance increase rate of glauconite sandstone under different glauconite content conditions.

[0116] The first relational database establishment module (in) Figure 5 (not shown in the image) is used to establish a first relational database based on the water saturation and resistivity of glauconite sandstone under different glauconite content conditions, and to generate a first relational curve based on each first data in the first relational database.

[0117] The second relational database establishment module (in) Figure 5 (Not shown in the image) is used to establish a second relational database based on the water saturation and rock resistivity increase rate of glauconite sandstone under different glauconite content conditions, and to generate a second relational curve based on each second data in the second relational database.

[0118] In some embodiments of the present invention, the rock resistivity analysis device 500 for glauconite sandstone provided in the present invention is based on the same inventive concept and has the same beneficial effects as the rock resistivity analysis method for glauconite sandstone provided in the foregoing embodiments of the present invention.

[0119] Example 3

[0120] This invention provides a computer device including a memory and a processor. The processor is used to read instructions stored in the memory, which can execute a method for analyzing the rock resistivity of glauconite sandstone according to any of the above method embodiments.

[0121] Those skilled in the art will appreciate that embodiments of the present application can be readily used as a method, apparatus, or computer program product. Accordingly, the present application can take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application can take the form of a computer program product on one or more computer readable storage media (including, but not limited to, disk memory, CD-ROMs, optical storage devices, etc.) embodying computer readable program code.

[0122] The present application is described in reference to the flowchart illustrations and / or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart illustrations and / or block diagrams. Figure 1 one or more functions specified in the flowchart illustrations and / or block diagrams. Figure 1 one or more functions specified in the flowchart illustrations and / or block diagrams.

[0123] These computer program instructions can also be stored in a computer readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer readable memory produce an article of manufacture including instructions which implement the functions specified in the flowchart illustrations and / or block diagrams. Figure 1 one or more functions specified in the flowchart illustrations and / or block diagrams. Figure 1 one or more functions specified in the flowchart illustrations and / or block diagrams.

[0124] These computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart illustrations and / or block diagrams. Figure 1 one or more functions specified in the flowchart illustrations and / or block diagrams. Figure 1 one or more functions specified in the flowchart illustrations and / or block diagrams.

[0125] Embodiment 4

[0126] The embodiment provides a computer readable storage medium, and the computer readable storage medium stores computer executable instructions. The computer executable instructions can execute an analysis method of rock resistivity of glauconite sandstone in any method embodiment. The storage medium can be a disk, an optical disk, a read only memory (ROM), a random access memory (RAM), a flash memory, a hard disk drive (HDD) or a solid state drive (SSD), etc. The storage medium can also include a combination of the above types of memories.

[0127] Obviously, the above embodiments are only examples for clearly illustrating, and are not intended to limit the embodiments. Based on the above description, other different forms of changes or variations can be made by those skilled in the art. Here, all the embodiments do not need to be exhausted, and the obvious changes or variations derived therefrom are still within the protection scope of the present application.

Claims

1. A method for analyzing the resistivity of glauconite sandstone, characterized in that, The method includes: Construct a resistivity model for Green Sea Stone Sandstone that includes multiple model components; Based on the resistivity model of glauconite sandstone, the rock water saturation, rock resistivity, and rock resistivity increase rate of glauconite sandstone under different glauconite content conditions were calculated. Based on the simulation conditions of the simulation curves, and the rock water saturation, rock resistivity, and rock resistivity increase rate of glauconite sandstone under different glauconite contents, a first relationship curve and a second relationship curve are generated. The first relationship curve is the relationship curve between rock resistivity and rock water saturation of glauconite sandstone under different glauconite contents. The second relationship curve is the relationship curve between rock resistivity increase rate and rock water saturation of glauconite sandstone under different glauconite contents. Based on the relationship curves, the trends and degrees of change of rock resistivity and rock resistivity increase rate of glauconite sandstone under different glauconite contents were analyzed, and the analysis results were obtained. The relationship curves include the first relationship curve and the second relationship curve.

2. The analytical method according to claim 1, characterized in that, Based on the relationship curve, the trends and degrees of change in the rock resistivity and rock resistivity increase rate of glauconite sandstone under different glauconite contents were analyzed, and the analysis results included: Based on the first relationship curve, the first trend and first degree of change of rock resistivity of glauconite sandstone under different glauconite contents are analyzed, and the first analysis results are obtained. Based on the second relationship curve, the second trend and the second degree of change of the rock resistivity increase rate of glauconite sandstone under different glauconite content conditions are analyzed, and the second analysis results are obtained.

3. The analytical method according to claim 2, characterized in that, Based on the first relationship curve, the first trend and first degree of change of the rock resistivity of glauconite sandstone under different glauconite contents are analyzed to obtain the first analysis results, including: Based on the first relationship curve, the variation trend between the rock resistivity and rock water saturation of glauconite sandstone under different glauconite content conditions is analyzed to obtain the first analysis result. The first analysis result includes: if the glauconite content increases, the rock resistivity of the corresponding glauconite sandstone shows a decreasing trend, and the rock resistivity of glauconite sandstone under low rock water saturation conditions decreases significantly.

4. The analytical method according to claim 2, characterized in that, Based on the second relationship curve, the second trend and the second degree of change of the rock resistivity increase rate of glauconite sandstone under different glauconite contents are analyzed to obtain the second analysis results, including: Based on the second relationship curve, the variation trend between the rock resistivity increase rate and the rock water saturation of glauconite sandstone under different glauconite content conditions was analyzed to obtain the second analysis result. The second analysis result includes: if the glauconite content increases, the corresponding rock resistivity increase rate of glauconite sandstone shows a decreasing trend, and the rock resistivity increase rate of glauconite sandstone under low rock water saturation conditions decreases significantly.

5. The analytical method according to claim 1, characterized in that, The constructed resistivity model of the green sea stone sandstone includes multiple model components, including: Multiple mineral parameters associated with the mineral composition of glauconite sandstone were obtained, including: framework grains, interstitial material composition, content of various minerals, and spatial distribution of various minerals. Based on the aforementioned mineral parameters, a resistivity model of the glauconite sandstone was constructed, comprising multiple model components, including: quartz grains, glauconite grains, dispersed clay, non-conductive oil and gas, mobile water, and micropore water.

6. The analytical method according to claim 1, characterized in that, The method further includes: Read the multiple simulation parameters used in the simulation conditions; The simulated parameters include: the non-conductive sandstone skeleton of glauconite sandstone, the simulated content of dispersed clay, the simulated porosity of glauconite sandstone, the simulated formation water conductivity, the simulated skeleton infiltration rate, the simulated skeleton infiltration index, the simulated micropore water infiltration index, and the simulated micropore water infiltration rate.

7. The analytical method according to claim 1, characterized in that, The method further includes: The water saturation, resistivity, and resistance increase rate of glauconite sandstone were obtained under different glauconite content conditions. Based on the water saturation and resistivity of glauconite sandstone under different glauconite content conditions, a first relational database is established, and the first relational curve is generated based on each first data in the first relational database. Based on the water saturation and rock resistivity increase rate of glauconite sandstone under different glauconite content conditions, a second relational database is established, and the second relational curve is generated based on each second data in the second relational database.

8. An analytical apparatus for the resistivity of glauconite sandstone, characterized in that, The device includes: The model building module is used to build a resistivity model of green sea stone sandstone that includes multiple model components; The calculation module is used to calculate the water saturation, resistivity, and resistance increase rate of glauconite sandstone under different glauconite content conditions based on the resistivity model of glauconite sandstone. The generation module is used to generate a first relationship curve and a second relationship curve based on the simulation conditions of the simulation curve and the rock water saturation, rock resistivity, and rock resistivity increase rate of glauconite sandstone under different glauconite contents. The first relationship curve is the relationship curve between rock resistivity and rock water saturation of glauconite sandstone under different glauconite contents. The second relationship curve is the relationship curve between rock resistivity increase rate and rock water saturation of glauconite sandstone under different glauconite contents. The analysis module is used to analyze the trend and degree of change of rock resistivity and rock resistivity increase rate of glauconite sandstone under different glauconite contents based on the relationship curve, and obtain the analysis results. The relationship curve includes the first relationship curve and the second relationship curve.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program for performing the analysis method according to any one of claims 1 to 7.

10. An electronic device, characterized in that, The electronic device includes: processor; Memory for storing the executable instructions of the processor; The processor is configured to read the executable instructions from the memory and execute the executable instructions to implement the analysis method according to any one of claims 1 to 7.

Images