CN118150510A

CN118150510A - Method for determining adsorption capacity of organic gas

Info

Publication number: CN118150510A
Application number: CN202410580545.8A
Authority: CN
Inventors: 王珂; 孙骞; 王焱伟
Original assignee: China University of Geosciences Beijing
Current assignee: China University of Geosciences Beijing
Priority date: 2024-05-11
Filing date: 2024-05-11
Publication date: 2024-06-07
Anticipated expiration: 2044-05-11
Also published as: CN118150510B

Abstract

The application relates to a method for determining the adsorption capacity of organic gas, which comprises the following steps: preparing a rock sample, and determining a marker corresponding to an organic matter to be detected on the rock sample; determining first position information of an organic matter to be detected through a nano infrared spectrometer and a marker; determining second position information of the organic matter to be detected through an atomic force probe and the first position information of the nanometer infrared spectrometer; based on the second position information, acquiring infrared spectrums of the organic matters to be detected through a nanometer infrared spectrometer; according to the infrared spectrum, the gas adsorption capacity of the organic matters to be detected is determined, damage to the organic matters to be detected on the rock sample is avoided, the measurement effect of the gas adsorption capacity of different types of the organic matters to be detected is guaranteed, and meanwhile, the detection precision of the gas adsorption capacity of the organic matters to be detected is improved.

Description

Method for determining adsorption capacity of organic gas

Technical Field

The application relates to the technical field of underground energy storage, in particular to a method for determining the adsorption capacity of organic gas and a method for selecting an underground reservoir.

Background

At present, most of the methods for determining the gas adsorption capacity of shale are based on isothermal adsorption experiments, well logging interpretation, on-site direct desorption testing of rock cores or rock fragments and the like, and the gas adsorption capacity of organic matters can be determined by adopting crushing and combustion methods, but the methods can cause damage to the organic matters and cannot distinguish the difference of the gas adsorption capacities of different types of organic matters.

The choice of subsurface reservoirs requires a combination of factors in addition to the rock organic gas adsorption capacity.

Disclosure of Invention

Embodiments of the present application provide a method for determining the adsorption capacity of an organic gas and a method for selecting a subsurface reservoir.

In a first aspect of the embodiment of the present application, there is provided a method for determining an adsorption capacity of an organic gas, the method for determining an adsorption capacity of an organic gas including:

Preparing a rock sample, and determining a marker corresponding to an organic matter to be detected on the rock sample;

determining first position information of the organic matter to be detected through a nano infrared spectrometer and the marker;

determining second position information of the organic matter to be detected through the atomic force probe of the nanometer infrared spectrometer and the first position information;

Based on the second position information, acquiring infrared spectrums of the organic matters to be detected through the nanometer infrared spectrometer;

and determining the gas adsorption capacity of the organic matter to be detected according to the infrared spectrum.

In an optional embodiment of the present application, the determining, by using a nano infrared spectrometer and the marker, the first location information of the organic matter to be detected specifically includes:

and observing the marker through an optical microscope in the nanometer infrared spectrometer, and determining the first position information of the organic matter to be detected.

In an optional embodiment of the present application, the determining, by using the atomic force probe of the nano infrared spectrometer and the first position information, the second position information of the organic matter to be detected specifically includes:

According to the first position information, controlling the atomic force probe to be close to the organic matter to be detected, and determining third position information of the atomic force probe;

and determining the second position information of the organic matter to be detected according to the third position information.

In an optional embodiment of the present application, the controlling, according to the first position information, the atomic force probe to approach the organic matter to be measured, and determining the third position information of the atomic force probe specifically includes:

setting a test distance between the surface of the rock sample and the atomic force probe based on the first position information;

And according to the test distance, enabling the atomic force probe to approach the organic matter to be tested, and determining the third position information.

In an alternative embodiment of the application, the test distance has a value between 100 μm and 300 μm.

In an optional embodiment of the present application, based on the second position information, the collecting, by the nano infrared spectrometer, an infrared spectrum of the organic matter to be detected specifically includes:

Determining a laser position of the nano infrared spectrometer according to the second position information, wherein the laser position maximizes a light spot in a sample surface contact area;

and acquiring the infrared spectrum of the organic matter to be detected according to the laser position.

In an optional embodiment of the present application, the determining, according to the second position information, a laser position of the nano infrared spectrometer specifically includes:

According to the second position information, determining a plurality of target wave numbers of laser emitted by the nanometer infrared spectrometer;

And carrying out position calibration on laser emitted by the nanometer infrared spectrometer according to the plurality of target wave numbers so as to obtain the laser position.

In an optional embodiment of the present application, the collecting the infrared spectrum of the organic matter to be tested according to the laser position specifically includes:

determining a plurality of target wave bands corresponding to the nanometer infrared spectrometer according to the laser positions;

and based on the target wave bands, carrying out spectrum acquisition on the organic matter to be detected to obtain the infrared spectrum.

In an optional embodiment of the present application, the determining, according to the infrared spectrum, the gas adsorption capacity of the organic matter to be detected specifically includes:

According to the infrared spectrum, determining the original adsorption capacity and humidity influence coefficient of the organic matter to be detected;

and determining the gas adsorption capacity according to the original adsorption capacity and the humidity influence coefficient.

In a second aspect of the embodiments of the present application, there is provided a method for selecting a subsurface reservoir, comprising the steps of determining the organic gas adsorption capacity according to the method, further comprising:

preparing a rock sample to be tested;

carrying out X-ray scanning on a rock sample to be detected to obtain a three-dimensional structure image;

determining a gridding image for flow simulation according to the three-dimensional structure image;

performing fluid flow simulation on the gridded image;

comparing the fluid flow characteristics of different rock samples for evaluating the rock micro-pore structure;

the subsurface reservoir is selected based on organic gas adsorption capacity and rock micro pore structure.

Drawings

The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain the application and do not constitute a limitation on the application. In the drawings:

FIG. 1 is a flowchart of a method for determining the adsorption capacity of organic gas according to an embodiment of the present invention;

FIG. 2 is a schematic diagram of a method for determining the adsorption capacity of organic gas according to an embodiment of the present invention;

FIG. 3 is a second schematic diagram of a method for determining the adsorption capacity of organic gases according to an embodiment of the present invention;

FIG. 4 is a third schematic diagram of a method for determining the adsorption capacity of organic gas according to an embodiment of the present invention;

FIG. 5 is a second flowchart of a method for determining the adsorption capacity of organic gas according to an embodiment of the present invention.

Detailed Description

In the process of realizing the application, the inventor finds that the current method for determining the gas adsorption capacity of the organic matters can cause damage to the organic matters and cannot distinguish the difference of the gas adsorption capacities of different types of organic matters.

In view of the above problems, an embodiment of the present application provides a method for determining an adsorption capacity of an organic gas, including: preparing a rock sample, and determining a marker corresponding to an organic matter to be detected on the rock sample; determining first position information of the organic matter to be detected through a nano infrared spectrometer and the marker; determining second position information of the organic matter to be detected through the atomic force probe of the nanometer infrared spectrometer and the first position information; based on the second position information, acquiring infrared spectrums of the organic matters to be detected through the nanometer infrared spectrometer; according to the infrared spectrum, the gas adsorption capacity of the organic matters to be detected is determined, damage to the organic matters to be detected on the rock sample is avoided, the measurement effect of the gas adsorption capacity of different types of organic matters to be detected is ensured, and meanwhile, the detection precision of the gas adsorption capacity of the organic matters to be detected is improved.

Referring to fig. 1, an embodiment of the present invention provides a method for determining an adsorption capacity of an organic gas, which may include the steps of:

s101, preparing a rock sample, and determining a marker corresponding to an organic matter to be detected on the rock sample;

s102, determining first position information of an organic matter to be detected through a nano infrared spectrometer and a marker;

s103, determining second position information of the organic matter to be detected through an atomic force probe of the nanometer infrared spectrometer and the first position information;

s104, based on the second position information, acquiring an infrared spectrum of the organic matter to be detected through a nanometer infrared spectrometer;

S105, determining the gas adsorption capacity of the organic matter to be detected according to the infrared spectrum.

In this embodiment, a method for determining the adsorption capacity of an organic matter is provided, specifically, a rock is obtained, a rock sample is prepared, and a marker corresponding to the organic matter to be detected is determined on the rock sample, wherein the rock sample is a small amount of real objects of the rock, the organic matter to be detected is an organic matter to be detected on the rock sample, and the marker is a substance with a marking function on the rock sample.

In some embodiments, the rock sample may be embodied as a shale sample and the markers may be embodied as markers around the organic matter to be measured on the rock sample.

And observing the markers on the rock sample through a nano infrared spectrometer, and determining first position information of the organic matters to be detected, wherein the first position information is approximate position information of the organic matters to be detected on the rock sample.

In some embodiments, the nano-infrared spectrometer may be embodied as nanoIR spectrometer (an infrared spectrometer).

In some embodiments, the first positional information may be positional information initially determined on the rock sample for the organic matter to be tested.

And determining second position information of the organic matter to be detected through an atomic force probe of the nanometer infrared spectrometer based on the first position information of the organic matter to be detected, wherein the atomic force probe is a probe device in the nanometer infrared spectrometer, and the second position information is laser position information for testing the organic matter to be detected.

It should be noted that the second position is mainly used for finding out the accurate laser position at the point to be measured of the organic matter, so that the light spot is maximized in the contact area of the sample surface, and the signal-to-noise ratio and the sensitivity of the spectrum are improved.

In some embodiments, the second position information may be specific to more accurate laser position information for testing the organic matter to be tested.

In some embodiments, the second position information may be position information accurately determined on the rock sample for the organic matter to be detected and position information of the accurate spectrum signal.

Based on second position information of the rock sample, acquiring an infrared spectrum of the organic matter to be detected through a nanometer infrared spectrometer, and further determining the gas adsorption capacity of the organic matter to be detected according to the infrared spectrum, wherein the infrared spectrum is a spectrum formed through infrared light, and the gas adsorption capacity is the adsorption capacity of the organic matter to be detected to gas.

In some embodiments, the data in the infrared spectrum may be calculated to obtain the gas adsorption capacity of the organic matter to be detected, where the gas adsorption capacity may be specifically the adsorption capacity of the functional groups such as hydroxyl, aromatic ring, carboxyl, carbonyl and the like in the organic matter to be detected on the gas substance.

The method for determining the organic matter gas adsorption capacity in the embodiment comprises the steps of preparing a rock sample, determining a marker corresponding to the organic matter to be detected on the rock sample, observing the marker on the rock sample through a nano infrared spectrometer, determining first position information of the organic matter to be detected, determining second position information of the organic matter to be detected through an atomic force probe of the nano infrared spectrometer based on the first position information of the organic matter to be detected, collecting infrared spectrums of the organic matter to be detected through the nano infrared spectrometer based on the second position information of the rock sample, and further determining the gas adsorption capacity of the organic matter to be detected according to the infrared spectrums, so that damage to the organic matter to be detected on the rock sample is avoided, the measurement effect on the gas adsorption capacity of different types of the organic matter to be detected is ensured, and meanwhile, the detection precision of the gas adsorption capacity of the organic matter to be detected is improved.

Based on the same inventive concept, the embodiment of the invention provides a method for determining the adsorption capacity of organic gas, which can comprise the following steps:

s201, preparing a rock sample, and determining a marker corresponding to an organic matter to be detected on the rock sample;

S202, observing the marker through an optical microscope in a nanometer infrared spectrometer, and determining first position information of an organic matter to be detected;

S203, determining second position information of the organic matter to be detected through an atomic force probe of the nanometer infrared spectrometer and the first position information;

s204, based on the second position information, acquiring an infrared spectrum of the organic matter to be detected through a nanometer infrared spectrometer;

S205, determining the gas adsorption capacity of the organic matter to be detected according to the infrared spectrum.

In this embodiment, an optical microscope is provided in the nano-infrared spectrometer, wherein the optical microscope is an optical instrument.

And observing the marker on the rock sample through an optical microscope, and further determining the first position information of the organic matter to be detected.

In some embodiments, the optical microscope may be embodied as a nano-infrared spectrometer self-contained microscope.

The method for determining the adsorption capacity of the organic matter gas in the embodiment observes the markers on the rock sample through the optical microscope in the nanometer infrared spectrometer, so that the first position information of the organic matter to be detected is determined, the information accuracy of the first position information of the organic matter to be detected is ensured, and the information accuracy of the second position information of the organic matter to be detected is further ensured.

S301, preparing a rock sample, and determining a marker corresponding to an organic matter to be detected on the rock sample;

s302, determining first position information of an organic matter to be detected through a nano infrared spectrometer and a marker;

s303, controlling the atomic force probe to be close to the organic matter to be detected according to the first position information, and determining third position information of the atomic force probe;

S304, determining second position information of the organic matter to be detected according to the third position information;

S305, based on the second position information, acquiring an infrared spectrum of the organic matter to be detected through a nanometer infrared spectrometer;

S306, determining the gas adsorption capacity of the organic matter to be detected according to the infrared spectrum.

In this embodiment, according to the first position information, the atomic force probe is controlled to approach the organic matter to be measured, and after the atomic force probe is controlled to approach the organic matter to be measured, third position information of the atomic force probe is determined, and further, according to the third position information, second position information of the organic matter to be measured is determined, where the third position information is position information of the atomic force probe after the atomic force probe approaches the organic matter to be measured.

In some embodiments, the atomic force probe is controlled to move to the organic matter to be measured, and third position information of the atomic force probe is recorded.

In some embodiments, the atomic force probe may be a specific AFM (atomic force microscope) probe.

According to the method for determining the organic matter gas adsorption capacity, the atomic force probe is controlled to be close to the organic matter to be detected according to the first position information, and after the atomic force probe is controlled to be close to the organic matter to be detected, third position information of the atomic force probe is determined, and further, second position information of the organic matter to be detected is determined according to the third position information, so that information accuracy of the second position information of the organic matter to be detected is guaranteed, and further information accuracy of infrared spectra of the organic matter to be detected is guaranteed.

s401, preparing a rock sample, and determining a marker corresponding to an organic matter to be detected on the rock sample;

S402, determining first position information of an organic matter to be detected through a nano infrared spectrometer and a marker;

s403, setting the test distance between the surface of the rock sample and the atomic force probe based on the first position information;

s404, enabling the atomic force probe to approach the organic matter to be detected according to the test distance, and determining third position information;

S405, determining second position information of the organic matter to be detected according to the third position information;

s406, based on the second position information, acquiring an infrared spectrum of the organic matter to be detected through a nanometer infrared spectrometer;

S407, determining the gas adsorption capacity of the organic matter to be detected according to the infrared spectrum.

In this embodiment, based on the first position information, a test distance between the surface of the rock sample and the atomic force probe is set, and then the atomic force probe is made to approach the organic matter to be measured according to the test distance, so as to obtain third position information, where the test distance is a distance measured by the atomic force probe.

In some embodiments, the test distance of the atomic force probe is set to 200 μm.

According to the method for determining the organic matter gas adsorption capacity, based on the first position information, the testing distance between the surface of the rock sample and the atomic force probe is set, and then the atomic force probe is made to approach to the organic matter to be tested according to the testing distance, so that third position information is obtained, the information accuracy of the third position information of the atomic force probe is guaranteed, and the information accuracy of the second position information of the organic matter to be tested is further guaranteed.

Based on the same inventive concept, the embodiment of the invention provides a method for determining the adsorption capacity of organic gas, wherein the value of the test distance is between 100 mu m and 300 mu m.

In the embodiment, the value of the test distance is limited to be between 100 mu m and 300 mu m, so that the information accuracy of the third position information of the atomic force probe is ensured, and the information accuracy of the second position information of the organic matter to be tested is further ensured.

S501, preparing a rock sample, and determining a marker corresponding to an organic matter to be detected on the rock sample;

s502, determining first position information of an organic matter to be detected through a nano infrared spectrometer and a marker;

S503, determining second position information of the organic matter to be detected through an atomic force probe and the first position information of the nanometer infrared spectrometer;

s504, determining the laser position of the nanometer infrared spectrometer according to the second position information;

s505, collecting infrared spectrums of the organic matters to be detected according to the laser positions;

S506, determining the gas adsorption capacity of the organic matter to be detected according to the infrared spectrum.

In the embodiment, the nanometer infrared spectrometer is controlled to emit laser to the second position information, the laser position of the laser emitted by the nanometer infrared spectrometer is determined, and then the nanometer infrared spectrometer is controlled to collect the infrared spectrum of the organic matter to be detected according to the laser position, wherein the laser position is the position information of the laser emitted by the nanometer infrared spectrometer.

In some embodiments, the laser location is location information of the precise spectroscopic signal of the nano infrared spectrometer.

The method for determining the organic matter gas adsorption capacity in the embodiment controls the nanometer infrared spectrometer to emit laser to the second position information, determines the laser position of the laser emitted by the nanometer infrared spectrometer, and then controls the nanometer infrared spectrometer to collect the infrared spectrum of the organic matter to be detected according to the laser position, so that the position accuracy of the laser position of the laser emitted by the nanometer infrared spectrometer is ensured, and the information accuracy of the infrared spectrum of the organic matter to be detected is further ensured.

S601, preparing a rock sample, and determining a marker corresponding to an organic matter to be detected on the rock sample;

S602, determining first position information of an organic matter to be detected through a nano infrared spectrometer and a marker;

s603, determining second position information of the organic matter to be detected through an atomic force probe of the nanometer infrared spectrometer and the first position information;

S604, determining a plurality of target wave numbers of laser emitted by the nanometer infrared spectrometer according to the second position information;

S605, performing position calibration on laser emitted by a nano infrared spectrometer according to a plurality of target wave numbers to obtain a laser position;

s606, collecting an infrared spectrum of the organic matter to be detected according to the laser position;

S607, determining the gas adsorption capacity of the organic matter to be detected according to the infrared spectrum.

In this embodiment, according to the second position information, a plurality of target wave numbers of the laser emitted by the nano infrared spectrometer are obtained, and then according to the plurality of target wave numbers, the laser emitted by the nano infrared spectrometer is subjected to position calibration to determine the laser position, wherein the plurality of target wave numbers are a plurality of wave numbers corresponding to the nano infrared spectrometer.

In some embodiments, the plurality of target wavenumbers may include 1450、1600And 1700。

According to the method for determining the organic matter gas adsorption capacity, according to the second position information, a plurality of target wave numbers of laser emitted by the nanometer infrared spectrometer are obtained, then according to the plurality of target wave numbers, the laser emitted by the nanometer infrared spectrometer is subjected to position calibration, the laser position is determined, the position accuracy of the laser position of the laser emitted by the nanometer infrared spectrometer is guaranteed, and further the information accuracy of the infrared spectrum of the organic matter to be detected is guaranteed.

s701, preparing a rock sample, and determining a marker corresponding to an organic matter to be detected on the rock sample;

S702, determining first position information of an organic matter to be detected through a nano infrared spectrometer and a marker;

s703, determining second position information of the organic matter to be detected through an atomic force probe of the nanometer infrared spectrometer and the first position information;

S704, determining the laser position of laser emitted by the nanometer infrared spectrometer according to the second position information;

S705, determining a plurality of target wave bands corresponding to the nanometer infrared spectrometer according to the laser positions;

s706, carrying out spectrum acquisition on the organic matter to be detected based on a plurality of target wave bands so as to obtain an infrared spectrum;

And S707, determining the gas adsorption capacity of the organic matter to be detected according to the infrared spectrum.

In the embodiment, a plurality of target wave bands corresponding to the nanometer infrared spectrometer are determined according to the laser positions, and spectrum acquisition is performed on the organic matter to be detected based on the plurality of target wave bands to obtain an infrared spectrum, wherein the plurality of target wave bands are a plurality of wave bands for acquiring the infrared spectrum.

In some embodiments, the plurality of target bands may include 860-1900And 2800-3796。

According to the method for determining the organic matter gas adsorption capacity, the plurality of target wave bands corresponding to the nanometer infrared spectrometer are determined according to the laser positions, and the spectrum acquisition is performed on the organic matter to be detected based on the plurality of target wave bands, so that the infrared spectrum is obtained, and the information accuracy of the infrared spectrum of the organic matter to be detected is ensured.

s801, preparing a rock sample, and determining a marker corresponding to an organic matter to be detected on the rock sample;

s802, determining first position information of an organic matter to be detected through a nano infrared spectrometer and a marker;

s803, determining second position information of the organic matter to be detected through an atomic force probe of the nanometer infrared spectrometer and the first position information;

S804, based on the second position information, acquiring an infrared spectrum of the organic matter to be detected through a nanometer infrared spectrometer;

S805, determining the original adsorption capacity and humidity influence coefficient of the organic matter to be detected according to the infrared spectrum;

s806, determining the gas adsorption capacity according to the original adsorption capacity and the humidity influence coefficient.

In this embodiment, the original adsorption capacity and the humidity influence coefficient of the organic matter to be detected are determined according to the infrared spectrum, and then the gas adsorption capacity is determined according to the original adsorption capacity and the humidity influence coefficient, wherein the original adsorption capacity is the original gas adsorption capacity of the organic matter to be detected, and the humidity influence coefficient is the influence coefficient of the humidity factor on the organic matter to be detected.

In some embodiments, the original adsorption capacity may be the original adsorption capacity I _O/C of the organic matter, the humidity influence coefficient may be the hydrophilicity, i.e. the influence I _m of the humidity, the gas adsorption capacity may be the corrected gas adsorption capacity I _g of the humidity influence, and the calculation formula of the gas adsorption capacity is as follows:

I_O/C=I_1700cm−1/(I_1700cm−1+I_1600cm−1)；

I_m=I_3300cm−1/(I_3300cm−1+I_1600cm−1)；

Ig=I_O/C/(I_O/C+I_m)；

Wherein, At 1600The intensity of absorption in the vicinity of the point of absorption,At 1700 ofThe intensity of absorption in the vicinity of the point of absorption,In 3300Nearby absorption intensity.

According to the method for determining the organic matter gas adsorption capacity, the original adsorption capacity and the humidity influence coefficient of the organic matter to be detected are determined according to the infrared spectrum, and then the gas adsorption capacity is determined according to the original adsorption capacity and the humidity influence coefficient, so that the information accuracy of the infrared spectrum of the organic matter to be detected is ensured.

s901, preparing a rock sample, and determining a marker corresponding to an organic matter to be detected on the rock sample;

s902, determining first position information of an organic matter to be detected through a nano infrared spectrometer and a marker;

S903, determining second position information of the organic matter to be detected through an atomic force probe of the nano infrared spectrometer and the first position information;

S904, acquiring an infrared spectrum of the organic matter to be detected through a nanometer infrared spectrometer based on the second position information;

s905, determining a plurality of absorption intensities corresponding to the organic matters to be detected according to an infrared spectrum;

s906, determining original adsorption capacity according to the plurality of adsorption intensities;

s907, determining a humidity influence coefficient of the organic matter to be detected according to the infrared spectrum;

s908, determining the gas adsorption capacity according to the original adsorption capacity and the humidity influence coefficient.

In this embodiment, a plurality of absorption intensities corresponding to the organic matter to be measured are determined according to the infrared spectrum, and then an original absorption capacity of the organic matter to be measured is determined according to the plurality of absorption intensities, wherein the plurality of absorption intensities are absorption intensities of the organic matter to be measured at a plurality of wave numbers.

In some embodiments, the plurality of absorption intensities includes at 1600 a of the organic matter to be tested、1700And 3300Nearby absorption intensity.

According to the method for determining the adsorption capacity of the organic matter gas, a plurality of absorption intensities corresponding to the organic matter to be detected are determined according to the infrared spectrum, and then the original adsorption capacity of the organic matter to be detected is determined according to the plurality of absorption intensities, so that the data accuracy of the original adsorption capacity of the organic matter to be detected is ensured, and the information accuracy of the infrared spectrum of the organic matter to be detected is further ensured.

S1001, preparing a rock sample, and determining a marker corresponding to an organic matter to be detected on the rock sample;

s1002, determining first position information of an organic matter to be detected through a nano infrared spectrometer and a marker;

s1003, determining second position information of the organic matter to be detected through an atomic force probe and the first position information of the nanometer infrared spectrometer;

s1004, based on the second position information, acquiring an infrared spectrum of the organic matter to be detected through a nanometer infrared spectrometer;

S1005, determining a plurality of absorption intensities corresponding to the organic matter to be detected according to the infrared spectrum;

S1006, determining a humidity influence coefficient according to the plurality of absorption intensities;

s1007, determining the original adsorption capacity of the organic matter to be detected according to the infrared spectrum;

S1008, determining the gas adsorption capacity according to the original adsorption capacity and the humidity influence coefficient.

In this embodiment, a plurality of absorption intensities corresponding to the organic matter to be measured are determined according to the infrared spectrum, and then a humidity influence coefficient of the organic matter to be measured is determined according to the plurality of absorption intensities, wherein the plurality of absorption intensities are absorption intensities of the organic matter to be measured at a plurality of wave numbers.

According to the method for determining the adsorption capacity of the organic matter gas, a plurality of absorption intensities corresponding to the organic matter to be detected are determined according to the infrared spectrum, and then the humidity influence coefficient of the organic matter to be detected is determined according to the plurality of absorption intensities, so that the data accuracy of the humidity influence coefficient is ensured, and the information accuracy of the infrared spectrum of the organic matter to be detected is further ensured.

S1101, preparing a rock sample, and determining a marker corresponding to an organic matter to be detected on the rock sample;

S1102, determining first position information of an organic matter to be detected through a nano infrared spectrometer and a marker;

S1103, determining second position information of the organic matter to be detected through an atomic force probe and the first position information of the nanometer infrared spectrometer;

s1104, based on the second position information, acquiring an infrared spectrum of the organic matter to be detected through a nanometer infrared spectrometer;

s1105, determining the original adsorption capacity and humidity influence coefficient of the organic matter to be detected according to the infrared spectrum;

And 1106, carrying out numerical correction on the original adsorption capacity according to the humidity influence coefficient to obtain the gas adsorption capacity.

In this embodiment, the original adsorption capacity is numerically corrected according to the humidity influence coefficient, and the gas adsorption capacity of the organic matter to be measured is determined.

In some embodiments, as shown in fig. 2, the organic matter to be tested includes an organic matter 1 and an organic matter 2, the organic matter 1 is shown in fig. 2 (a), the organic matter 2 is shown in fig. 2 (b), the index of the gas adsorption capacity of the organic matter 1 is 0.48, and the index of the gas adsorption capacity of the organic matter 2 is 0.40, which indicates that the gas adsorption capacity of the organic matter 1 is relatively strong under the influence of taking hydrophilicity into consideration.

In some embodiments, as shown in fig. 3, the organic matter to be tested may include an organic matter 1, where the organic matter 1 is shown in fig. 3 (a), the infrared spectrum of the organic matter to be tested is shown in fig. 3 (b) and fig. 3 (c), and as shown in fig. 4, the organic matter to be tested may further include an organic matter 2, where the organic matter 2 is shown in fig. 4 (a), and the infrared spectrum of the organic matter to be tested is shown in fig. 4 (b) and fig. 4 (c).

According to the method for determining the organic matter gas adsorption capacity in the embodiment, the original adsorption capacity is subjected to numerical correction according to the humidity influence coefficient, the gas adsorption capacity of the organic matter to be detected is determined, and the information accuracy of the gas adsorption capacity of the organic matter to be detected is ensured.

The method for determining the organic gas adsorption capacity in the embodiment can accurately capture the component information of the micro-nano single organic particles without damage, further predict the gas adsorption capacity of different types of organic substances, is quick and convenient, takes the influence of humidity into consideration, provides a new way for distinguishing and quantitatively predicting the organic gas adsorption capacity from the perspective of nano geochemistry, and has important significance for evaluating unconventional reservoirs and evaluating the underground gas storage capacity of the organic-rich stratum.

S1201, cutting the rock according to the size parameters of the sample to obtain a rock sample, and determining a marker corresponding to the organic matter to be detected on the rock sample;

S1202, determining first position information of an organic matter to be detected through a nano infrared spectrometer and a marker;

S1203, determining second position information of the organic matter to be detected through an atomic force probe of the nano infrared spectrometer and the first position information;

S1204, collecting infrared spectrums of the organic matters to be detected through a nanometer infrared spectrometer based on the second position information;

s1205, determining the gas adsorption capacity of the organic matter to be detected according to the infrared spectrum.

In this embodiment, the rock is subjected to a cutting process according to a sample size parameter of the rock to obtain a rock sample, wherein the sample size parameter is a size parameter corresponding to the rock sample.

In some embodiments, the sample size parameters may specifically include 10mm long, 10mm wide, and 2mm thick.

According to the method for determining the organic matter gas adsorption capacity in the embodiment, the rock is cut according to the sample size parameters of the rock, so that a rock sample is obtained, the data accuracy of the rock sample size is guaranteed, and meanwhile the practicability of the rock sample is guaranteed.

Based on the same inventive concept, the embodiment of the invention provides a method for determining the adsorption capacity of organic matter gas, wherein the sample size parameters comprise length parameters, width parameters and thickness parameters.

In this embodiment, the sample size parameters including the length parameter, the width parameter and the thickness parameter are defined, the data accuracy of the rock sample size is ensured, and the practicality of the rock sample is also ensured.

Based on the same inventive concept, the embodiment of the invention provides a method for determining the adsorption capacity of organic gas, wherein the value of a length parameter is between 1mm and 10mm, the value of a width parameter is between 1mm and 10mm, and the value of a thickness parameter is between 1mm and 3 mm.

In the embodiment, the value of the length parameter is limited to be between 1mm and 10mm, the value of the width parameter is limited to be between 1mm and 10mm, the value of the thickness parameter is limited to be between 1mm and 3mm, the data accuracy of the size of the rock sample is ensured, and meanwhile the practicability of the rock sample is ensured.

s1301, preparing a rock sample, polishing the surface of the rock sample, and determining a marker corresponding to an organic matter to be detected on the rock sample;

S1302, determining first position information of an organic matter to be detected through a nano infrared spectrometer and a marker;

S1303, determining second position information of the organic matter to be detected through an atomic force probe of the nanometer infrared spectrometer and the first position information;

s1304, based on the second position information, acquiring an infrared spectrum of the organic matter to be detected through a nanometer infrared spectrometer;

S1305, determining the gas adsorption capacity of the organic matter to be detected according to the infrared spectrum.

In this embodiment, after the rock sample is prepared, the surface of the rock sample is polished, ensuring the sample effectiveness of the rock sample.

Based on the same inventive concept, the embodiment of the invention provides a method for determining the adsorption capacity of organic matter gas, wherein a rock sample is a shale sample.

In this embodiment, it is defined that the rock sample is a shale sample, ensuring that the rock sample may be a different type of rock.

S1301, preparing a rock sample, observing the organic matter to be detected on the rock sample through an optical instrument, and determining a marker corresponding to the organic matter to be detected;

In the embodiment, the organic matter to be detected on the rock sample is observed through an optical instrument, and the marker corresponding to the organic matter to be detected is determined, wherein the optical instrument is an instrument capable of observing the micro-substances.

In some embodiments, the optical instrument may be embodied as a conventional microscope.

The method for determining the adsorption capacity of the organic matter in the embodiment observes the organic matter to be detected on the rock sample through the optical instrument, determines the marker corresponding to the organic matter to be detected, ensures the accuracy of the position information of the marker, and simultaneously ensures the accuracy of the position information of the organic matter to be detected.

Based on the same inventive concept, the embodiment of the invention provides a method for determining the adsorption capacity of organic gas, and an optical instrument is an optical microscope.

In the embodiment, the optical instrument is defined as an optical microscope, so that the accuracy of the position information of the marker is ensured, and meanwhile, the accuracy of the position information of the organic matter to be detected is ensured.

Based on the same inventive concept, the embodiment of the invention provides a method for determining the adsorption capacity of organic matter gas, wherein the marker is mineral particles on a rock sample.

In this embodiment, the markers are defined as mineral particles on the rock sample, the accuracy of the position information of the markers is ensured, and the accuracy of the position information of the organic matter to be detected is also ensured.

Based on the same inventive concept, the embodiment of the invention provides a method for determining the adsorption capacity of organic matter gas, and the marker is a mark engraved on a rock sample.

In the embodiment, the markers are defined as marks engraved on the rock sample, so that the accuracy of the position information of the markers is ensured, and meanwhile, the accuracy of the position information of the organic matter to be detected is ensured.

Based on the same inventive concept, the embodiment of the invention provides a method for determining the gas adsorption capacity of organic matters, wherein the nanometer infrared spectrometer is nanoIR nanometer infrared spectrometer, so that the measurement accuracy of the gas adsorption capacity of the organic matters to be measured is ensured.

s1401, preparing a rock sample, and determining a marker corresponding to an organic matter to be detected on the rock sample;

s1402, determining first position information of an organic matter to be detected through a nano infrared spectrometer and a marker;

s1403, collecting a plurality of spectrum background values of the nanometer infrared spectrometer;

s1404, removing measurement errors of the nanometer infrared spectrometer through a plurality of spectrum background values;

S1405, determining second position information of the organic matter to be detected through an atomic force probe of the nano infrared spectrometer and the first position information;

s1406, based on the second position information, acquiring an infrared spectrum of the organic matter to be detected through a nanometer infrared spectrometer;

S1407, determining the gas adsorption capacity of the organic matter to be detected according to the infrared spectrum.

In the embodiment, in the running process of the nano infrared spectrometer, a plurality of spectrum background values of the nano infrared spectrometer are collected, and then according to the plurality of spectrum background values, the measurement error of the nano infrared spectrometer is removed, wherein the spectrum background value is the background value of the nano infrared spectrometer, and the measurement error is generated in the measurement process of the nano infrared spectrometer.

In some embodiments, the plurality of spectral background values may include 3 to 5 background values.

In the method for determining the organic matter gas adsorption capacity in the embodiment, in the process of operating the nanometer infrared spectrometer, a plurality of spectrum background values of the nanometer infrared spectrometer are collected, and according to the spectrum background values, the measurement error of the nanometer infrared spectrometer is removed, the measurement error of the nanometer infrared spectrometer is eliminated, and the measurement accuracy of the nanometer infrared spectrometer is further improved.

Based on the same inventive concept, the embodiment of the invention provides a method for determining the adsorption capacity of organic matter gas, and the measurement error is an error caused by background noise of an environment or a nanometer infrared spectrometer.

In the embodiment, the measurement error is defined as the error caused by the background noise of the environment or the nanometer infrared spectrometer, so that the measurement error of the nanometer infrared spectrometer is eliminated, and the measurement precision of the nanometer infrared spectrometer is further improved.

S1501, preparing a rock sample, and determining a marker corresponding to an organic matter to be detected on the rock sample;

S1502, determining first position information of an organic matter to be detected through a nano infrared spectrometer and a marker, and moving a tip of an atomic force probe into a field of view of the nano infrared spectrometer;

S1503, determining second position information of the organic matter to be detected through an atomic force probe of the nano infrared spectrometer and the first position information;

S1504, acquiring an infrared spectrum of the organic matter to be detected through a nanometer infrared spectrometer based on the second position information;

S1505, determining the gas adsorption capacity of the organic matter to be detected according to the infrared spectrum.

In the embodiment, after the first position information of the organic matter to be detected is determined, the tip of the atomic force probe is moved into the field of view of the nano infrared spectrometer, so that the normal movement of the atomic force probe is ensured, and the normal operation of the nano infrared spectrometer is further ensured.

S1601, preparing a rock sample, and determining a marker corresponding to an organic matter to be detected on the rock sample;

s1602, determining first position information of an organic matter to be detected through a nano infrared spectrometer and a marker, moving a tip of an atomic force probe into a field of view of the nano infrared spectrometer, and focusing the organic matter to be detected at a set speed according to the first position information;

S1603, determining second position information of the organic matter to be detected through an atomic force probe of the nano infrared spectrometer and the first position information;

S1604, based on the second position information, acquiring an infrared spectrum of the organic matter to be detected through a nanometer infrared spectrometer;

S1605, determining the gas adsorption capacity of the organic matter to be detected according to the infrared spectrum.

In this embodiment, after the tip of the atomic force probe is moved into the field of view of the nano infrared spectrometer, the organic matter to be measured is focused at a set speed according to the first position information, wherein the set speed is a focusing speed of the nano infrared spectrometer.

According to the method for determining the organic matter gas adsorption capacity in the embodiment, after the tip of the atomic force probe is moved into the field of view of the nano infrared spectrometer, the organic matter to be detected is focused at a set speed according to the first position information, so that the normal operation of the nano infrared spectrometer is ensured, and the measurement accuracy of the nano infrared spectrometer is further improved.

Based on the same inventive concept, the embodiment of the invention provides a method for determining the adsorption capacity of organic gas, wherein the set speed is a micron-sized speed.

In this embodiment, the set speed is defined as a micrometer-scale speed, and normal operation of the nano infrared spectrometer is ensured.

Based on the same inventive concept, the embodiment of the invention provides a method for determining the adsorption capacity of organic matters, wherein the adsorption capacity of organic matters is the adsorption capacity of functional groups such as hydroxyl groups, aromatic rings, carboxyl groups, carbonyl groups and the like in the organic matters to be detected on the gas matters.

In the embodiment, the gas adsorption capacity is defined as the adsorption capacity of functional groups such as hydroxyl, aromatic ring, carboxyl and carbonyl in the organic matter to be detected on the gas substances, and the measurement accuracy of the gas adsorption capacity of the organic matter to be detected on different gases is ensured.

Based on the same inventive concept, as shown in fig. 5, an embodiment of the present invention provides a method for determining an adsorption capacity of an organic gas, which may include the steps of:

S1, preparing a shale sample;

S2, observing and selecting an organic matter to be detected in a microscope, and recording surrounding markers;

s3, running nanoIR and preliminarily determining the position of the organic matter through the marker under the self-contained optical microscope;

S4, adjusting the position of the AFM probe to enable the AFM probe to be infinitely close to the surface of the sample, and determining the accurate position to be detected of the organic matter;

s5, calibrating the IR laser position to acquire an infrared spectrum of the point to be detected;

S6, predicting the organic gas adsorption capacity according to the relative absorption intensity of the characteristic functional groups.

In this embodiment, a method for determining the adsorption capacity of an organic matter is provided, specifically, a rock sample is prepared, and a marker corresponding to the organic matter to be detected is determined on the rock sample.

In some embodiments, the rock sample may be embodied as a shale sample and the markers may be embodied as markers around the organic matter record to be measured observed and selected under a microscope.

And observing the markers on the rock sample by using a nano infrared spectrometer, and determining the first position information of the organic matter to be detected.

In some embodiments, the nano-infrared spectrometer may be embodied as nanoIR a 2 spectrometer (an infrared spectrometer).

In some embodiments, the first location information may be a preliminary determination of the organic matter location by markers under the light microscope in which nanoIR is run and which is self-contained.

In some embodiments, the second position information may be used to determine an accurate position of the organic material to be measured for adjusting the position of the AFM probe to be infinitely close to the surface of the sample.

In some embodiments, the IR laser (infrared laser) location may be calibrated for point-to-be-measured infrared spectrum acquisition and the organic gas adsorption capacity predicted based on the relative absorption intensities of the oxygen-containing functional groups and the aromatic ring.

The method for determining the organic matter gas adsorption capacity in the embodiment avoids damage to the organic matters to be detected on the rock sample, ensures the measurement effect of the gas adsorption capacity of different types of the organic matters to be detected, and improves the detection precision of the gas adsorption capacity of the organic matters to be detected.

The present application provides a method for selecting a subsurface reservoir, comprising the steps of determining the organic gas adsorption capacity according to said method, further comprising:

preparing a rock sample to be tested;

performing fluid flow simulation on the gridded image;

The underground reservoir is selected according to the organic matter gas adsorption capacity and the rock micro-pore structure, namely the rock micro-pore structures corresponding to the plurality of underground reservoirs to be selected are ordered from simple to complex, the roughness and the elastic modulus of the rock organic matters corresponding to the plurality of underground reservoirs to be selected are respectively ordered from large to small, and the underground reservoirs with the three orders being all the first 50% of the number of the underground reservoirs to be selected are selected.

In an embodiment of the present application, determining a gridded image for flow simulation from a three-dimensional structure image specifically includes: noise removing is carried out on the three-dimensional structure image; carrying out pore segmentation on the denoised image according to the gray value; the segmented pores are extracted, and a tetrahedron grid is generated through edge overturning, edge folding and vertex translation and is used as a gridding image for flow simulation. Performing fluid flow simulation on the gridded image, specifically including: introducing the pores of the gridding image into a multiphase flow model; the same fluid is injected into the pores of the gridding image according to the same flow velocity under the same temperature and pressure condition in the multiphase flow model. The evaluation of the rock micro-pore structure specifically comprises the following steps: and selecting the highest flow velocity point in the pore as a key node, and calculating the average pressure difference of the flow velocity according to the key node to judge the complexity of the microscopic pore throat.

A method for selecting a subsurface reservoir provided according to the present application further comprises:

Preparing a rock sample;

placing the rock sample in a rock core holder capable of transmitting X rays, and applying pressure to simulate formation confining pressure to perform initial rock structure scanning;

injecting a fluid into the rock sample and performing continuous X-ray scanning to obtain a three-dimensional gray scale image;

Extracting rock fracture structure information under the continuous action of the fluid in the three-dimensional gray level image to realize quantitative characterization, wherein the fluid comprises fluids in different phases;

the subsurface reservoir is selected based on organic gas adsorption capacity, rock micro-pore structure, and rock fracture structure.

In an embodiment of the application, the step of injecting a fluid into the rock sample and performing a continuous X-ray scan to obtain a three-dimensional gray scale image is preceded by the steps of: environmental conditions are configured to be compatible with the phase inversion of the fluid to enable the fluid to be inverted between different phases, the fluid including CO ₂ of different phases. The environmental conditions include temperature conditions and pressure conditions that are compatible with the phase inversion of the fluid. The step of extracting rock fracture structure information under the continuous action of the fluid in the three-dimensional gray level image to realize quantitative characterization comprises the following steps: importing the three-dimensional gray scale image into an imaging data analysis device; extracting a rock fracture structure of the same rock fracture under the action of different phase fluids; and quantitatively characterizing the rock fracture structure under the action of different phase fluids. The step of preparing a rock sample specifically comprises the following steps: and preparing the rock sample into a rock sample which meets the preset scanning resolution and meets the size requirement of the core holder. The rock sample prepared comprises at least one of the following: a cylindrical rock sample, a rectangular rock sample, and a square rock sample. The step of injecting a fluid into the rock sample and performing a continuous X-ray scan to obtain a three-dimensional gray scale image comprises: the fluid is injected into the rock sample and subjected to continuous synchrotron radiation X-ray scanning to obtain a three-dimensional gray scale image. The step of placing the rock sample in an X-ray transparent core holder and applying pressure to simulate formation confining pressure to perform initial rock structure scanning comprises the following steps: placing the rock sample in a rock core holder capable of transmitting X rays, and continuously injecting water into the rock core holder until the pressure generated by the rock core holder reaches the preset stratum confining pressure; and performing initial rock structure scanning based on the pressure generated by the core holder reaching the preset stratum confining pressure. The step of continuously injecting water into the core holder until the pressure generated by the core holder reaches the preset formation confining pressure comprises the following steps: and continuously injecting water into the core holder through a plunger pump until the pressure generated by the core holder reaches the preset formation confining pressure. The step of injecting a fluid into the rock sample and performing a continuous X-ray scan is preceded by the step of: and (5) carrying out saturation treatment on the rock sample by brine.

Preparing a rock sample;

Performing X-ray scanning on the rock sample to obtain an initial three-dimensional structural image of the rock sample;

applying different confining pressures to the rock sample, and performing continuous in-situ X-ray scanning to obtain three-dimensional structure images of the rock sample in different time and different deformation states;

Post-processing the initial three-dimensional structure image and the three-dimensional structure image of the rock sample under different deformation states at different times to obtain a gray level image for strain calculation;

And determining the strain and distribution mode of the rock sample under different surrounding pressures based on the gray level image so as to realize the representation of rock continuous strain, and selecting a subsurface reservoir according to the organic matter gas adsorption capacity, the rock micro-pore structure, the rock crack structure and the rock continuous strain.

In an embodiment of the present application, the step of determining the strain and distribution pattern of the rock sample under different surrounding pressures based on the gray level image specifically includes: and calculating a strain field of the rock sample subjected to stress deformation relative to the previous moment based on the gray level image so as to determine the strain and distribution modes of the rock sample under different surrounding pressures. The step of calculating the strain field of the rock sample deformed by stress relative to the previous moment based on the gray level image specifically comprises the following steps: and calculating the strain field of the rock sample deformed by stress relative to the previous moment by adopting a digital correlation method based on the gray level image. The step of calculating the strain field of the rock sample deformed by stress relative to the previous moment by adopting a digital correlation method based on the gray level image specifically comprises the following steps: importing the gray scale image into an imaging data analysis device; dividing the three-dimensional structure image of the rock sample deformed under different confining pressures and the three-dimensional structure image of the rock sample at the previous moment into a plurality of subvolumes; matching a plurality of said sub-volumes by correlation, the center of each of said sub-volumes being used to estimate and map a displacement field; the displacement field is converted to the strain field by a central finite difference. The steps of applying different confining pressures to the rock sample and performing continuous in-situ X-ray scanning specifically comprise: the rock sample was placed in an X-ray transparent core holder and successive in situ X-ray scans were performed with different confining pressures applied. The rock sample is placed in a rock core holder capable of transmitting X rays, and different confining pressures are applied to perform continuous in-situ X ray scanning, and the method specifically comprises the following steps of: the rock sample is placed in an X-ray transparent core holder, water is continuously injected into the core holder, and continuous in-situ X-ray scanning is performed. The step of post-processing the initial three-dimensional structure image and the three-dimensional structure image of the rock sample under different deformation states at different times specifically comprises the following steps: and carrying out image registration and noise removal processing on the initial three-dimensional structure image and the three-dimensional structure image of the rock sample under different deformation states at different times. Before the steps of performing image registration and noise removal processing on the initial three-dimensional structure image and the three-dimensional structure image of the rock sample under different deformation states at different times, the method further comprises: and pre-registering the initial three-dimensional structure image and the three-dimensional structure image of the rock sample under different deformation states at different times through aligning centers or aligning principal coordinate axes. The noise removal includes non-local mean filtering, gaussian filtering, and median filtering. The rock sample prepared comprises at least one of the following: a cylindrical rock sample, a rectangular rock sample, and a square rock sample. The step of X-ray scanning the rock sample is preceded by: the rock sample is placed in the range of an X-ray scanning view. The step of performing X-ray scanning on the rock sample to obtain an initial three-dimensional structural image of the rock sample specifically includes: and carrying out continuous synchrotron radiation X-ray scanning on the rock sample to obtain a high-resolution initial three-dimensional structure image of the rock sample. The step of X-ray scanning the rock sample to obtain an initial three-dimensional structural image of the rock sample is preceded by: fluid is injected into the rock sample. The fluid comprises fluids of different phases.

Scanning the rock sample to obtain a rock structure image;

Constructing a rock pore network model according to the rock structure image;

And constructing a gas mutual flooding model of the rock according to the rock pore network model, and determining the gas mutual flooding characteristic of the rock so as to select the underground reservoir according to the organic matter gas adsorption capacity, the rock micro pore structure, the rock crack structure, the rock continuous strain and the gas mutual flooding characteristic of the rock.

In an embodiment of the application, said constructing a pore network model from said rock structure image comprises: dividing the rock structure image to obtain a rock pore distribution image; and constructing the rock pore network model according to the rock pore distribution image. The constructing the rock pore network model according to the rock pore distribution image comprises the following steps: separating the rock pore distribution image to obtain a rock pore phase model; and constructing the rock pore network model according to the rock pore phase model. The step of separating the rock pore distribution image to obtain a rock pore phase model comprises the following steps: and separating the rock pore distribution image according to the pixel value to obtain the rock pore phase model. The constructing a gas mutual flooding model according to the rock pore network model comprises the following steps: optimizing the rock pore network model to obtain a rock grid structure model; and constructing a rock gas mutual driving model according to the rock grid structure model. The optimizing the rock pore network model to obtain a rock grid structure model comprises the following steps: converting the rock pore network model into a rock three-dimensional structure model; and carrying out optimization treatment on the rock three-dimensional structure model to obtain a rock grid structure model. The optimizing the rock three-dimensional structure model to obtain a rock grid structure model comprises the following steps: converting the rock three-dimensional structure model into a first grid model according to the first grid density; and carrying out optimization treatment on the first grid model to obtain the rock grid structure model. The optimization processing at least comprises overlapping grid removing processing, grid hole filling processing and special-shaped grid adjusting processing. The building of the rock gas mutual driving model according to the rock grid structure model comprises the following steps: and training the rock grid structure model according to a sample data set to obtain the rock gas mutual flooding model. The sample data set includes at least a training data set and a test data set. The scanning of the rock to obtain the rock structure image comprises the following steps: and carrying out X-ray scanning on the rock to obtain the rock structure image. The rock structure image is a gray image with preset storage capacity.

acquiring a rock sample to be tested; wherein the rock sample to be tested is taken from organic shale;

obtaining the distribution position of kerogen in the rock sample to be detected by using a first scanning instrument;

obtaining the surface morphology features of each kerogen in the rock sample to be detected by using a second scanning instrument based on the distribution positions of the kerogen in the rock sample to be detected; wherein the surface topography features comprise at least: surface relief and roughness;

Carrying out spectrum test on each kerogen in the rock sample to be tested by utilizing a spectrum test instrument based on the distribution position of the kerogen in the rock sample to be tested to obtain the surface molecular structural characteristics of each kerogen in the rock sample to be tested;

And determining the storage capacity of each kerogen in the rock sample to be tested to target gas according to the surface morphology features and the surface molecular structure features of each kerogen in the rock sample to be tested, so as to select a subsurface reservoir according to the organic matter gas adsorption capacity, the rock micro-pore structure, the rock crack structure, the rock continuous strain, the gas mutual driving characteristics of the rock and the storage capacity of each kerogen in the rock sample to target gas.

In an embodiment of the present application, the obtaining a rock sample to be measured includes: obtaining a rock sample from the shale rich in organic matter; preparing the rock sample into a rock sample to be polished with a preset size and a preset shape; and polishing the rock sample to be polished to obtain the rock sample to be polished. The first scanning instrument is a scanning electron microscope, and the obtaining of the distribution position of kerogen in the rock sample to be detected by using the first scanning instrument comprises the following steps: scanning the rock sample to be detected by using the scanning electron microscope under a preset condition to obtain the distribution position of kerogen in the rock sample to be detected; wherein the preset conditions at least comprise a low vacuum condition. The second scanning instrument is an atomic force microscope, and based on the distribution position of the kerogen in the rock sample to be detected, the surface topography features of each kerogen in the rock sample to be detected are obtained by using the second scanning instrument, and the method comprises the following steps: scanning each kerogen in the rock sample to be detected by utilizing the atomic force microscope based on the distribution position of the kerogen in the rock sample to be detected, so as to obtain a scanning image of each kerogen in the rock sample to be detected; and determining the surface morphology features of each kerogen in the rock sample to be detected according to the scanning images of each kerogen in the rock sample to be detected. The determining the surface topography features of each kerogen in the rock sample to be tested according to the scanned images of each kerogen in the rock sample to be tested comprises the following steps: determining the highest point and the lowest point of the surface of each kerogen in the rock sample to be tested according to the scanned image of each kerogen in the rock sample to be tested; and obtaining the surface waviness of each kerogen in the rock sample to be tested according to the distance between the highest point and the lowest point of the surface of each kerogen in the rock sample to be tested. The determining the surface topography features of each kerogen in the rock sample to be tested according to the scanned images of each kerogen in the rock sample to be tested comprises the following steps: the roughness of each kerogen in the rock sample to be measured was calculated using the following formula: ; wherein R _a is the roughness average of kerogen; n _x and N _y represent the number of data points scanned in the X and Y coordinate axis directions, respectively, and Z (i, j) represents the height of the data point scanned; z _mean represents the average height of the baseline of the scanned data points. The surface molecular structure characteristics of the kerogen include the relative absorption intensity of the characteristic functional groups on the surface of the kerogen to infrared light of a preset wave band, and the spectral test is performed on each kerogen in the rock sample to be tested by utilizing a spectral test instrument based on the distribution position of the kerogen in the rock sample to be tested to obtain the surface molecular structure characteristics of each kerogen in the rock sample to be tested, and the method comprises the following steps: based on the distribution position of kerogen in the rock sample to be tested, carrying out atomic force-based nanometer infrared spectrum test on each kerogen in the rock sample to be tested by utilizing a spectrum test instrument to obtain the relative absorption intensity of various characteristic functional groups on the surfaces of each kerogen in the rock sample to be tested on infrared light of the preset wave band; the absorption intensity of the characteristic functional group to the infrared light of the preset wave band is related to the absorption capacity of the characteristic functional group to target gas. The determining the storage capacity of each kerogen in the rock sample to be tested to the target gas according to the surface morphology feature and the surface molecular structure feature of each kerogen in the rock sample to be tested comprises the following steps: for each kerogen in the rock sample to be tested, the following steps are performed: determining the surface area of the kerogen available for adsorbing gas according to the surface waviness and roughness of the kerogen; determining the adsorption capacity of the kerogen to the target gas according to the relative absorption intensity of various characteristic functional groups on the surface of the kerogen to the infrared light of the preset wave band; the storage capacity of the kerogen for the target gas is determined based on the amount of surface area of the kerogen available for adsorption of gas and the amount of adsorption capacity of the kerogen for the target gas.

Preparing a rock sample to be detected, and identifying target organic matters on the rock sample to be detected, wherein the rock is shale;

Obtaining the surface morphology and the elastic modulus of the target organic matter;

obtaining the surface component of the target organic matter;

And determining the microstructure of the organic matter according to the surface morphology, the elastic modulus and the surface composition of the target organic matter, so as to select a subsurface reservoir according to the organic matter gas adsorption capacity, the rock micro pore structure, the rock crack structure, the rock continuous strain, the gas mutual driving characteristic of the rock, the storage capacity of each kerogen in the rock sample to the target gas and the microstructure of the organic matter in the rock.

In the embodiment of the application, the target organic matter is identified by observing the rock sample to be detected through an optical microscope and a scanning electron microscope, wherein the optical microscope adopts reflected light for observation, and the scanning electron microscope adopts a low vacuum condition for observation. The obtaining the surface morphology and the elastic modulus of the target organic matter comprises the following steps: testing the root mean square roughness of a target organic matter by an atomic force microscope and taking the root mean square roughness as the surface morphology of the target organic matter; the elastic modulus of the target organic material was tested by the Derjaguar-Muller-Toporov model of an atomic force microscope, which is a model used to describe the interaction between the sample and the probe. The obtaining the surface component of the target organic matter comprises the following steps: and testing the surface components of the target organic matters by utilizing an atomic force infrared combined system based on a photo-thermal induced nano infrared technology. Before testing the surface composition of the target organic matter, the method further comprises: the atomic force infrared combined system is 1450-1460、1600-1620 And 2920-2930The wavenumber is laser calibrated. The method for determining the microstructure of the organic matter according to the surface morphology, the elastic modulus and the surface composition of the target organic matter, as the characteristic of the organic matter, comprises the following steps: determining the reduction degree of the fatty chain according to the surface component of the target organic matter, wherein the reduction degree of the fatty chain is the ratio of methyl to methylene content in an infrared spectrogram; comparing the root mean square roughness, the elastic modulus and the fatty chain reduction degree of the first rock sample to be tested and the second rock sample to be tested; under the condition that the root mean square roughness of the first rock sample to be measured is larger than that of the second rock sample to be measured, the elastic modulus of the first rock sample to be measured is larger than that of the second rock sample to be measured, and the reduction degree of the fatty chain of the first rock sample to be measured is smaller than that of the second rock sample to be measured, the hydrocarbon generation and emission potential of the first rock sample to be measured is larger than that of the second rock sample to be measured.

Preparing a sandstone sample to be tested;

Applying confining pressure to the sandstone sample to be detected, slowly injecting potassium iodide solution into the sandstone sample to be detected, and simultaneously continuously scanning the sandstone sample to be detected by X rays until the sandstone sample to be detected is completely saturated;

injecting a second fluid into the sandstone sample to be detected, and simultaneously carrying out X-ray continuous scanning on the sandstone sample to be detected until the potassium iodide solution is completely displaced;

Acquiring a three-dimensional image, and acquiring a first volume fraction after potassium iodide saturation and a second volume fraction after complete filling of a second fluid according to the three-dimensional image;

The first volume fraction and the second volume fraction are compared for wettability characterization to select a subsurface reservoir based on sandstone wettability, rock fracture structure, and rock continuous strain. The subsurface reservoir is selected based on the organic gas adsorption capacity, the rock micro-pore structure, the rock fracture structure, the rock continuous strain, the gas mutual driving characteristics of the rock, the storage capacity of each kerogen in the rock sample for the target gas, the microstructure of the organic matter in the rock, and the sandstone wettability.

In an embodiment of the present application, the applying a confining pressure to the sandstone sample to be measured, slowly injecting a potassium iodide solution into the sandstone sample to be measured, and continuously scanning the sandstone sample to be measured by X-rays until the sandstone sample to be measured is completely saturated, specifically includes: applying confining pressure to the sandstone sample to be tested; slowly injecting potassium iodide solution into the sandstone sample to be detected, and simultaneously carrying out X-ray continuous scanning on the sandstone sample to be detected to obtain a three-dimensional digital core; and quantitatively dividing the three-dimensional digital rock core until the saturation value of the sandstone sample to be detected is unchanged. The quantitative segmentation is carried out on the three-dimensional digital rock core until the saturation value of the sandstone sample to be detected is unchanged, and the quantitative segmentation specifically comprises the following steps: quantitatively dividing the three-dimensional digital rock core to obtain a saturation value of the sandstone sample to be detected; judging whether the saturation value changes or not; if not, the sandstone sample to be detected is completely saturated, and the injection of the potassium iodide solution is stopped. Injecting a second fluid into the sandstone sample to be detected, and simultaneously carrying out X-ray continuous scanning on the sandstone sample to be detected until the potassium iodide solution is completely displaced, wherein the method specifically comprises the following steps of: injecting a second fluid into the sandstone sample to be detected, and simultaneously carrying out X-ray continuous scanning on the sandstone sample to be detected to obtain a two-dimensional X-ray image and a three-dimensional digital rock core; judging whether the potassium iodide solution is completely discharged out of the sandstone sample to be tested according to the two-dimensional X-ray image; if yes, quantitatively dividing the three-dimensional digital rock core to confirm that the displacement of the second fluid is completed. The method for obtaining the three-dimensional image comprises the steps of obtaining a first volume fraction after potassium iodide saturation and a second volume fraction after complete filling of a second fluid according to the three-dimensional image, and specifically comprises the following steps: acquiring a first three-dimensional image of the sandstone sample to be detected after being completely saturated, and carrying out filtering and position alignment on the first three-dimensional image to obtain a first image gray level difference; obtaining original porosity and residual porosity after filling potassium iodide according to the gray level difference of the first image; and obtaining a first volume fraction after potassium iodide saturation according to the difference between the original porosity and the residual porosity. The three-dimensional image is obtained, and a first volume fraction after potassium iodide saturation and a second volume fraction after complete filling of a second fluid are obtained according to the three-dimensional image, and the method further comprises the following steps: acquiring a second three-dimensional image after the potassium iodide solution is completely displaced, and filtering and aligning the second three-dimensional image to obtain a second image gray level difference; and dividing according to the gray level difference of the second image to obtain a second volume fraction of the second fluid after the second fluid is completely filled. The wettability characterization by comparing the first volume fraction with the second volume fraction specifically comprises the following steps: and calculating according to the first volume fraction and the second volume fraction to obtain a wettability index. And when the wettability index is larger than a preset value, representing hydrophilicity, and when the wettability index is smaller than the preset value, representing hydrophobicity.

In an embodiment of the application, the subsurface reservoir is selected to include two application scenarios: first, a target subsurface reservoir is selected from a plurality of subsurface reservoirs based on the gas to be stored, and second, a reservoir gas adapted to the subsurface reservoir is selected from a plurality of reservoir gases based on characteristics of the rock in the subsurface reservoir, including but not limited to fracture structure of the rock, strain of the rock, gas mutual drive characteristics in the rock, adsorption capacity of the rock to gas, wettability of the rock, gas storage capacity of kerogen in the rock, microscopic pore structure of the rock, microscopic structure of rock organic matter, reservoir gas including but not limited to carbon dioxide, hydrogen, natural gas.

In embodiments of the application, in selecting a subsurface reservoir, the smaller the length, width and volume changes of the rock fracture structure as the gas phase of the gas to be stored changes, the better the fracture structure is to avoid the risk of leakage of the gas to be stored during the storage.

In embodiments of the application, in selecting a subsurface reservoir, the subsurface reservoir rock is subject to significant expansion strain as the gas phase of the gas to be stored changes, if the rock expansion strain is small, the subsurface reservoir is selected, if the expansion strain is large, the rock aperture is easily caused to close significantly, reducing gas storage capacity.

In embodiments of the application, where the gas to be stored is carbon dioxide and methane is present in the rock in the subsurface reservoir, in selecting the subsurface reservoir, the displacement effect of carbon dioxide on methane is determined based on the characteristics of the mutual displacement between carbon dioxide and methane, i.e., the change in the volumetric flow rates of carbon dioxide and methane in the pore structure, the better the displacement effect of carbon dioxide on methane, the greater the probability of selecting the current subsurface reservoir.

In the embodiment of the application, in the case that the gas to be stored is carbon dioxide, in the selective subsurface reservoir, the more the oxygen-containing functional group content is, the more the adsorption capacity of kerogen to carbon dioxide gas can be enhanced, and the greater the probability of selecting the current subsurface reservoir.

In embodiments of the application, where the gas to be stored is carbon dioxide, the blocking capacity of the rock is reduced when the rock wettability is hydrophobic in the selected subsurface reservoir, and the current subsurface reservoir is selected when the rock wettability is hydrophilic.

In an embodiment of the application, where the gas to be stored is carbon dioxide, in selecting the subsurface reservoir, the gas storage capacity of kerogen in the rock is determined by the size of the surface area of kerogen available for adsorption of gas and the size of the capacity of said kerogen for adsorption of carbon dioxide gas, the larger the surface area of kerogen available for adsorption of gas and the larger the capacity of said kerogen for adsorption of carbon dioxide gas, the greater the probability of selecting the current subsurface reservoir.

In embodiments of the present application, the more complex the subsurface reservoir rock micro-pore structure is in selecting a subsurface reservoir, the worse the permeability, and the more resistance to fluid flow tends to be created, and therefore the more simple the subsurface reservoir rock micro-pore structure is, the greater the probability of selecting the current subsurface reservoir when the permeability is better.

In embodiments of the present application, in selecting a subsurface reservoir, the microstructure of the rock organic matter is the roughness and elastic modulus of the rock organic matter, the greater the roughness of the subsurface reservoir rock organic matter is, the more advantageous the gas enrichment, the greater the elastic modulus is, the more the shale bulk stiffness can be enhanced, and therefore the greater the roughness and elastic modulus of the subsurface reservoir rock organic matter is, the greater the probability of selecting a current subsurface reservoir.

The foregoing is merely exemplary of embodiments of the present invention to enable those skilled in the art to understand or practice the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. The method for determining the organic gas adsorption capacity is characterized by comprising the following steps of:

2. The method for determining the adsorption capacity of an organic matter according to claim 1, wherein the determining the first position information of the organic matter to be detected by using the nano infrared spectrometer and the marker specifically includes:

3. The method for determining the adsorption capacity of an organic matter according to claim 1, wherein the determining the second position information of the organic matter to be detected by the nanoprobe of the nanoinfrared spectrometer and the first position information specifically includes:

4. The method for determining an adsorption capacity of an organic gas according to claim 3, wherein the controlling the atomic force probe to approach the organic material to be detected according to the first position information, determining the third position information of the atomic force probe, specifically includes:

5. The method for determining the adsorption capacity of organic gas according to claim 4, wherein the test distance has a value of 100 μm to 300 μm.

6. The method for determining the adsorption capacity of an organic matter according to claim 1, wherein the acquiring, based on the second position information, the infrared spectrum of the organic matter to be detected by the nano infrared spectrometer specifically includes:

7. The method for determining an adsorption capacity of an organic gas according to claim 6, wherein determining a laser position of the nano infrared spectrometer according to the second position information specifically comprises:

8. The method for determining the adsorption capacity of an organic gas according to claim 6, wherein the collecting the infrared spectrum of the organic material to be detected according to the laser position specifically comprises:

Determining a plurality of target wave bands corresponding to the infrared nanometer spectrometer according to the laser positions;

9. The method for determining the gas adsorption capacity of an organic matter according to claim 1, wherein the determining the gas adsorption capacity of the organic matter to be detected according to the infrared spectrum specifically includes:

10. A method for selecting a subsurface reservoir, comprising the steps of the method for determining organic gas adsorption capacity according to any one of claims 1 to 9, further comprising:

preparing a rock sample to be tested;

performing fluid flow simulation on the gridded image;