WO2024088308A1 - 压裂用支撑剂含量确定方法、装置及系统 - Google Patents

压裂用支撑剂含量确定方法、装置及系统 Download PDF

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Publication number
WO2024088308A1
WO2024088308A1 PCT/CN2023/126530 CN2023126530W WO2024088308A1 WO 2024088308 A1 WO2024088308 A1 WO 2024088308A1 CN 2023126530 W CN2023126530 W CN 2023126530W WO 2024088308 A1 WO2024088308 A1 WO 2024088308A1
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WIPO (PCT)
Prior art keywords
proppant
content
determining
quartz
fracture surface
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PCT/CN2023/126530
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English (en)
French (fr)
Inventor
靳军
张远凯
王子强
周伟
刘向军
刘赛
林治忠
郭慧英
魏云
梁宝兴
寇根
李震
李婷
周波
李琼
葛玲
胡冰艳
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中国石油天然气股份有限公司
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Publication of WO2024088308A1 publication Critical patent/WO2024088308A1/zh

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    • E—FIXED CONSTRUCTIONS
    • E21—EARTH OR ROCK DRILLING; MINING
    • E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B43/00—Methods or apparatus for obtaining oil, gas, water, soluble or meltable materials or a slurry of minerals from wells
    • E21B43/25—Methods for stimulating production
    • E21B43/26—Methods for stimulating production by forming crevices or fractures
    • E21B43/267—Methods for stimulating production by forming crevices or fractures reinforcing fractures by propping
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N23/00—Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00
    • G01N23/22—Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00 by measuring secondary emission from the material
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N23/00—Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00
    • G01N23/22—Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00 by measuring secondary emission from the material
    • G01N23/2202—Preparing specimens therefor
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N23/00—Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00
    • G01N23/22—Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00 by measuring secondary emission from the material
    • G01N23/225—Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00 by measuring secondary emission from the material using electron or ion
    • G01N23/2251—Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00 by measuring secondary emission from the material using electron or ion using incident electron beams, e.g. scanning electron microscopy [SEM]
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30—Computing systems specially adapted for manufacturing

Definitions

  • the present invention relates to the technical field of mineral identification, and in particular to a method for determining the content of a proppant for fracturing, a device for determining the content of a proppant for fracturing, and a system for determining the content of a proppant for fracturing.
  • the analysis of the content of fracturing proppant entering the fractures after fracturing is of great significance for evaluating the fracturing transformation effect, optimizing the fracturing design, and improving the recovery rate of oil and gas wells and the economic benefits of oil fields.
  • Quartz sand is cheap and easy to obtain, and is currently the most commonly used proppant.
  • Traditional mineral identification methods include handheld specimen observation and observation under a microscope.
  • the mineral type is determined by the color, crystal shape, luster, streak, transparency, luminescence, specific gravity, hardness, cleavage and even magnetism of the mineral.
  • this method can often only distinguish minerals with larger crystals and more obvious characteristics, and it is difficult to distinguish small mineral particles.
  • Place the rock sample under a microscope observe its polarized light, orthogonal polarized light or light type characteristics under a reflector, and analyze the mineral composition of the rock.
  • identification under a microscope requires a lot of labor costs, and its accuracy is often affected by the experience and professional limitations of the observer.
  • samples are subjected to X-ray diffraction.
  • a substance crystalline or amorphous
  • the substance is irradiated with X-rays to produce diffraction phenomena of varying degrees.
  • the substance composition, crystal form, intramolecular bonding mode, molecular configuration, conformation, etc. determine the substance to produce a unique diffraction pattern.
  • the elemental information and mineral composition of the sample can be obtained.
  • the sample needs to be ground into 40 ⁇ m particles, which destroys the original form of the sample and cannot accurately identify the proppant particles.
  • the content of the proppant cannot be accurately determined. Therefore, in order to understand the placement of the proppant in the fracture, there is an urgent need for a method that can quickly and accurately identify the proppant and determine the content of the proppant in the fracture.
  • the present invention provides a method for determining the content of proppant for fracturing, a device for determining the content of proppant for fracturing and a system for determining the content of proppant for fracturing.
  • the method for determining the content of proppant for fracturing can accurately and quickly obtain the content of proppant for fracturing in the formation, which is helpful to evaluate the effect of fracturing transformation and improve the recovery rate of oil and gas wells and the economic benefits of oil fields.
  • the method for determining the content of proppant for fracturing comprises the following steps: determining the quartz component in the proppant; determining multiple initial screening conditions; mixing the proppant with the core matrix in different proportions to obtain multiple groups of mixed samples; using the multiple groups of mixed samples to determine the proppant content error under each initial screening condition; determining the final screening condition from the multiple initial screening conditions according to the proppant content error corresponding to the multiple initial screening conditions, wherein the final screening condition includes the content of the quartz component; using the final screening condition to identify the proppant in the fracture surface sample and determine the content of the proppant in the fracture surface sample.
  • the determining of the quartz component in the proppant comprises:
  • the various components of the proppant are compared with the components of the core matrix of different formations to determine the quartz components in the proppant.
  • the method of using the multiple groups of mixed samples to determine the proppant content error under each initial screening condition includes:
  • the average value of the proppant content errors of the multiple groups of mixed samples is determined as the proppant content error under the initial screening condition.
  • the determining of the content error of the proppant of the mixed sample under each initial screening condition comprises:
  • the proppant content error of the mixed sample is determined based on the difference between the actual proppant content of the mixed sample and the detected proppant content.
  • the method of determining the final screening condition from the multiple initial screening conditions according to the proppant content errors corresponding to the multiple initial screening conditions includes:
  • the initial screening condition corresponding to the minimum proppant content error is determined as the final screening condition.
  • the method of identifying the proppant in the fracture surface sample using the final screening condition includes:
  • quartz particles of the fracture surface sample are screened out from the plurality of particles of the fracture surface sample
  • core matrix quartz particles are screened out from a plurality of particles of the core matrix
  • Proppant quartz particles are determined based on the fracture surface sample quartz particles and the core matrix quartz particles.
  • the determining of the content of proppant in the fracture surface sample comprises:
  • the content of the proppant in the fracture surface sample is determined according to the content of the quartz particles in the fracture surface sample, the content of the core matrix quartz particles in the core matrix, and the content of the quartz particles in the proppant.
  • Pz is the content of proppant in the fracture surface sample
  • Ps is the content of quartz grains in the fracture surface sample
  • Pd is the content of quartz grains in the core matrix
  • Py is the content of quartz grains in the proppant.
  • a second aspect of the present invention provides a device for determining the content of proppant for fracturing, the device comprising: a determination module for determining the quartz component in the proppant; and determining a plurality of initial screening conditions; a mixed sample preparation module for mixing the proppant with the core matrix in different proportions to obtain a plurality of mixed samples; an error determination module for determining the proppant content error under each initial screening condition using the plurality of mixed samples; a screening module for determining a final screening condition from the plurality of initial screening conditions according to the proppant content errors corresponding to the plurality of initial screening conditions, wherein the final screening condition includes the content of the quartz component;
  • the proppant determination module is used to identify the proppant in the fracture surface sample using the final screening condition and determine the content of the proppant in the fracture surface sample.
  • a third aspect of the present invention provides a system for determining the content of proppant for fracturing, comprising the device for determining the content of proppant for fracturing as described above.
  • the present invention has at least the following technical effects:
  • the method for determining the content of proppant for fracturing of the present invention first determines the quartz component in the proppant, and uses the quartz component to identify the proppant in the fracture surface sample and determine the content of the proppant. Determine multiple initial screening conditions, mix the proppant with the core matrix in different proportions, and obtain multiple groups of mixed samples. Use the multiple groups of mixed samples to determine the proppant content error under each initial screening condition, determine the final screening condition from the multiple initial screening conditions based on the proppant content error, and then use the final screening condition to identify the proppant in the fracture surface sample and determine the content of the proppant in the fracture surface sample.
  • the content of proppant for fracturing in the formation can be accurately and quickly obtained, which is helpful to evaluate the effect of fracturing transformation and improve the recovery rate of oil and gas wells and the economic benefits of oil fields.
  • FIG1 is a flow chart of a method for determining the content of proppant for fracturing provided by an embodiment of the present invention
  • FIG2 is a mineral map of a core matrix in a method for determining proppant content for fracturing provided by an embodiment of the present invention
  • FIG3 is a mineral map of the proppant in the method for determining the content of the proppant for fracturing provided by an embodiment of the present invention
  • FIG4 is an X-ray spectrum of a quartz component in the method for determining the content of a proppant for fracturing provided by an embodiment of the present invention
  • FIG5 is an X-ray spectrum of another quartz component in the method for determining the content of proppant for fracturing provided by an embodiment of the present invention.
  • FIG6 is an X-ray spectrum of another quartz component in the method for determining the content of proppant for fracturing provided by an embodiment of the present invention.
  • FIG7 is an X-ray spectrum of another quartz component in the method for determining the content of proppant for fracturing provided by an embodiment of the present invention.
  • FIG8 is an X-ray spectrum of another quartz component in the method for determining the content of proppant for fracturing provided by an embodiment of the present invention.
  • FIG9 is a mineral map of a group of mixed samples in the method for determining the content of proppant for fracturing provided by an embodiment of the present invention.
  • FIG10 is a schematic diagram of quartz particles screened out from a fracture surface sample in a method for determining proppant content for fracturing provided by an embodiment of the present invention
  • FIG. 11 is a schematic diagram of a device for determining proppant content for fracturing provided in an embodiment of the present invention.
  • directional words such as "up, down, top, bottom” are usually used to describe the relative positional relationship of components in the direction shown in the drawings or in the vertical, perpendicular or gravity direction.
  • An embodiment of the present invention provides a method for determining the content of proppant for fracturing, and the method includes the following steps: S101: determining the quartz component in the proppant; S102: determining multiple initial screening conditions; S103: mixing the proppant with the core matrix in different proportions to obtain multiple groups of mixed samples; S104: using the multiple groups of mixed samples to determine the proppant content error under each initial screening condition; S105: determining the final screening condition from the multiple initial screening conditions based on the proppant content error corresponding to the multiple initial screening conditions, wherein the final screening condition includes the content of the quartz component; S106: using the final screening condition to identify the proppant in the fracture surface sample and determine the content of the proppant in the fracture surface sample.
  • step S101 is performed: determining the quartz component in the proppant.
  • the determining of the quartz component in the proppant includes: comparing the various components of the proppant with the components of the core matrix of different formations to determine the quartz component in the proppant.
  • the proppant is composed of a plurality of particles, the main component of which is quartz, that is, most of the proppant particles are quartz particles, and a single quartz particle is composed of a large amount of quartz components and a small amount of other components, and the quartz components are divided into multiple types, including at least SY1, SY2...SY8.
  • the core matrix also contains a trace amount of quartz. If only quartz is used to identify the proppant in the fracture surface sample, the quartz in the core matrix will be counted, and the detection result will be greater than the actual value.
  • the present application in order to distinguish the quartz in the proppant and the core matrix, the present application first prepares the proppant sample and the core matrix sample without the proppant injected in different formations, performs electron microscope scanning analysis + energy spectrum quantitative analysis on the proppant sample and the core matrix sample without the proppant injected in different formations, respectively determines the components of the proppant and the core matrix in different formations, compares the components of the proppant with the components of the core matrix, and finds that the quartz components included in the proppant are SY1, SY4, and SY5, and the quartz components in the core matrix are SY1, SY2, SY3, SY4, and SY5. Therefore, SY1, SY4, and SY5 are used as the quartz components in the proppant, and the SY1, SY4, and SY5 components are used to screen the quartz particles in the proppant.
  • step 102 a plurality of initial screening conditions are determined.
  • a plurality of initial screening conditions are determined. Please refer to Table 1 for the initial screening conditions.
  • step 103 the proppant and the core matrix are mixed in different proportions to obtain multiple groups of mixed samples.
  • step 104 using the multiple groups of mixed samples, the proppant content error under each initial screening condition is determined.
  • the method of using the multiple groups of mixed samples to determine the proppant content error under each initial screening condition includes: determining the proppant content error of the mixed sample under each initial screening condition; and determining the average value of the proppant content errors of the multiple groups of mixed samples as the proppant content error under the initial screening condition.
  • the method of determining the proppant content error of the mixed sample under each initial screening condition includes: calculating the detected proppant content of the mixed sample under each initial screening condition; and determining the proppant content error of the mixed sample based on the difference between the actual proppant content of the mixed sample and its detected proppant content.
  • the proppant is mixed with the core matrix of the same formation in different proportions to obtain multiple groups of mixed samples.
  • all mixed samples are subjected to electron microscope scanning analysis + energy spectrum quantitative analysis to determine the detected proppant content in the mixed sample, and the detected proppant content of the mixed sample is subtracted from the actual proppant content of the group of mixed samples (i.e., the content of the proppant in the mixed sample) to determine the content error of the proppant of the group of mixed samples.
  • the proppant content errors of multiple groups of mixed samples are averaged to obtain the proppant content error under the initial condition.
  • an automatic mineral identification system is used to perform electron microscope scanning analysis + energy spectrum quantitative analysis on the sample to determine the content of the component.
  • the automatic mineral identification system has various application scenarios and can be applied to complex environments such as laboratories, drilling sites, and core libraries.
  • the sample sources are wide, and non-destructive testing and analysis of various rock samples such as cores, cuttings, and thin sections can be performed.
  • the automatic mineral identification system provides a powerful, reliable, and diverse mineral database, including more than 2,000 common silicates, carbonates, and clay minerals, and a patented algorithm for spectrum comparison has been developed to replace the element method to calculate the component content.
  • the scanning electron microscope is controlled by the technical software of the automatic mineral identification system to collect a frame of BSE image (mineral map), and then image processing such as mineral particle extraction and particle grayscale phase separation is performed to determine the X-ray energy spectrum point analysis position (such as a square point in the mineral map of Figure 2); then the X-ray energy spectrometer is controlled to automatically collect the X-ray spectrum information of the X-ray energy spectrum point analysis position, and the components of the X-ray energy spectrum point analysis position are determined according to the X-ray spectrum information. After the X-ray acquisition of all X-ray energy spectrum analysis positions in one frame is completed, the content of each component can be calculated using its own algorithm.
  • step 105 is performed: according to the proppant content errors corresponding to the multiple initial screening conditions, a final screening condition is determined from the multiple initial screening conditions, wherein the final screening condition includes the content of the quartz component.
  • the method of determining the final screening condition from the multiple initial screening conditions based on the proppant content errors corresponding to the multiple initial screening conditions includes: determining the minimum proppant content error from the proppant content errors corresponding to the multiple initial screening conditions; and determining the initial screening condition corresponding to the minimum proppant content error as the final screening condition.
  • the minimum proppant content error is determined from the proppant content errors corresponding to the initial screening conditions, and the initial screening conditions corresponding to the minimum proppant content error are determined as the final screening conditions.
  • step 106 is performed: using the final screening condition to identify the proppant in the fracture surface sample, and determining the content of the proppant in the fracture surface sample.
  • the use of the final screening conditions to identify the proppant in the fracture surface sample includes: screening out fracture surface sample quartz particles from multiple particles of the fracture surface sample according to the final screening conditions; screening out core matrix quartz particles from multiple particles of the core matrix according to the final screening conditions; and determining the proppant quartz particles based on the fracture surface sample quartz particles and the core matrix quartz particles.
  • the determining of the content of proppant in the fracture surface sample includes: determining the content of quartz particles in the fracture surface sample; determining the content of core matrix quartz particles in the core matrix; determining the content of proppant in the fracture surface sample according to the content of quartz particles in the fracture surface sample, the content of core matrix quartz particles in the core matrix and the content of quartz particles in the proppant.
  • Pz is the content of proppant in the fracture surface sample
  • Ps is the content of quartz grains in the fracture surface sample
  • Pd is the content of quartz grains in the core matrix
  • Py is the content of quartz grains in the proppant.
  • the final screening condition is used to screen multiple particles of the fracture surface sample. If the particle meets the final screening condition, the particle is judged to be a fracture surface sample quartz particle. Then the content Ps of the fracture surface sample quartz particles in the fracture surface sample is determined.
  • the core matrix also contains trace quartz particles. In order to avoid errors, the core matrix is screened using the final screening condition. If the particle meets the final screening condition, the particle is judged to be a core matrix quartz particle, and then the content of the core matrix quartz particles in the core matrix is determined.
  • the core matrix quartz particles are subtracted from the fracture surface sample quartz particles, which is the proppant quartz particles, and then the content of the proppant quartz particles in the fracture surface sample is determined, that is, Ps - Pd .
  • the content of the core matrix quartz particles in the core matrix samples of the core matrix of different formations are selected, the content of the quartz particles in multiple samples is detected, and then the average value is taken to obtain the content of the core matrix quartz particles.
  • Pz is the content of proppant in the fracture surface sample
  • Ps is the content of quartz grains in the fracture surface sample
  • Pd is the content of quartz grains in the core matrix
  • Py is the content of quartz grains in the proppant.
  • the method provided by the present invention can accurately and quickly obtain the content of proppant for fracturing in the formation, which is helpful to evaluate the effect of fracturing transformation and improve the recovery rate of oil and gas wells and the economic benefits of oil fields.
  • sample preparation steps include: (1) Sample pretreatment: sieve the sample, remove impurities, wash and dry it to obtain a pretreated sample with a particle size of 0.1-0.8 mm. Use water or anhydrous ethanol to clean the sample particles to thoroughly remove the surface attachments and drilling fluid. (2) Sample preparation: Put the pretreated sample into the mold, add the sample resin liquid composed of metallographic powder and metallographic liquid with a mass volume ratio of 1:1.1 g/ml, stir it thoroughly to eliminate bubbles, let it stand and solidify, and obtain a rough sample; grind and polish the rough sample, clean and dry it, and then perform conductive carbon plating to obtain the sample.
  • the proppant uses quartz particles with a particle size of 20-40 mesh.
  • Figure 2 is a mineral map of one group of core matrix
  • Figure 2a is a black and white map
  • Figure 2b is a color map. It can be seen from the figure that the particles of the core matrix contain quartz components, but the particles also contain more impurities
  • Figure 3 is a mineral map of one group of proppant
  • Figure 3a is a black and white map
  • Figure 3b is a color map.
  • quartz particles account for 80% of the proppant, and the mineral particles contain quartz with high purity and concentrated particle size distribution, and contain 20% feldspar particles or quartz feldspar mixed particles.
  • quartz X-ray spectra in the mineral library please refer to Figures 4-8, which are X-ray spectra of SY1, SY2, SY3, SY4, and SY5 respectively.
  • the X-ray spectra types in the proppant are SY1, SY4, and SY5, and the X-ray spectra types in the formation are quartz SY1, SY2, SY3, SY4, and SY5. It can be concluded that quartz particles can be identified by SY1, SY4, and SY5, and quartz purity can be used to distinguish quartz particles in the core matrix and proppant.
  • multiple initial screening conditions are determined. Please refer to Table 1 for specific initial screening conditions.
  • the proppant is mixed with the core matrix of the same formation in different proportions to obtain multiple groups of mixed samples.
  • all mixed samples are subjected to electron microscope scanning analysis + energy spectrum quantitative analysis to determine the detected proppant content in the mixed sample, and the detected proppant content of the mixed sample is subtracted from the actual proppant content of the group of mixed samples (i.e., the content of the proppant in the mixed sample) to determine the proppant content error of the group of mixed samples.
  • the proppant content errors of multiple groups of mixed samples are averaged to obtain the proppant content error under the initial conditions shown in Table 1.
  • Figure 9 is a mineral map of 10% proppant + 90% core matrix mixed samples in multiple groups of mixed samples
  • Figure 9a is a black and white map
  • Figure 9b is a color map.
  • the minimum proppant content error is determined to be 5.9% from the proppant content errors corresponding to the initial screening conditions, and the initial screening condition SY1+SY4+SY5 ⁇ 95% corresponding to the minimum proppant content error of 5.9% is determined as the final screening condition.
  • the fracture surface sample is subjected to electron microscope scanning analysis + energy spectrum quantitative analysis, and multiple particles of the fracture surface sample are screened using the final screening condition. If the particle meets the final screening condition, it is determined that the particle is a fracture surface sample quartz particle.
  • Figure 10 which is a mineral map of the fracture surface sample
  • Figure 10a is a black and white map
  • Figure 10b is a color map.
  • the particles framed in blue in Figure 10b are quartz particles (only one of the quartz particles is schematically selected by a white dotted line in Figures 10a and 10b).
  • the content Ps of the fracture surface sample quartz particles in the fracture surface sample is determined to be 34.2% by electron microscope scanning analysis + energy spectrum quantitative analysis.
  • the cracked core matrix is subjected to electron microscope scanning analysis + energy spectrum quantitative analysis, and the core matrix is screened using the final screening conditions. If the particle meets the final screening conditions, the particle is judged to be a core matrix quartz particle, and then the content P d of the core matrix quartz particles in the core matrix is determined.
  • the content P d of the core matrix quartz particles in the core matrix samples of core matrix from different formations are selected, and the contents of quartz particles in multiple samples shown in Table 2 are detected, and then the average value is taken to obtain the content P d of the core matrix quartz particles.
  • the proppant quartz particles are obtained by subtracting the core matrix quartz particles from the fracture surface sample quartz particles, and then the content of the proppant quartz particles in the fracture surface sample is determined, that is, 34.2%-1%.
  • the second aspect of the present invention provides a device for determining the content of proppant for fracturing, and the device for determining the content of proppant for fracturing includes: a determination module, used to determine the quartz component in the proppant; and determine multiple initial screening conditions; a mixed sample preparation module, used to mix the proppant and the core matrix according to different proportions to obtain multiple groups of mixed samples; an error determination module, used to use the multiple groups of mixed samples to determine the proppant content error under each initial screening condition; a screening module, used to determine the final screening condition from the multiple initial screening conditions according to the proppant content errors corresponding to the multiple initial screening conditions, wherein the final screening condition includes the content of the quartz component; a proppant determination module, used to use the final screening condition to identify the proppant in the fracture surface sample and determine the content of the proppant in the fracture surface sample.
  • a third aspect of the present invention provides a system for determining the content of proppant for fracturing, comprising the device for determining the content of proppant for fracturing as described above.

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Abstract

一种压裂用支撑剂含量确定方法、装置及系统，方法包括：确定支撑剂中的石英组分S（S101）；确定多个初始筛选条件（S102）；将支撑剂与岩心基质按照不同的比例混合，得到多组混合样品（S103）；利用多组混合样品确定每一初始筛选条件下的支撑剂含量误差（S104）；根据多个初始筛选条件对应的支撑剂含量误差，从多个初始筛选条件中确定最终筛选条件，其中，最终筛选条件包括石英组分的含量（S105）；利用最终筛选条件识别裂缝面样品中的支撑剂，并确定裂缝面样品中支撑剂的含量（S106）。能够精确、快速的得出地层中压裂用支撑剂的含量，有助于评价压裂改造效果，提高油气井采收率及油田经济效益。

Description

压裂用支撑剂含量确定方法、装置及系统 技术领域
本发明涉及矿物识别技术领域，具体地，涉及一种压裂用支撑剂含量确定方法、一种压裂用支撑剂含量确定装置及一种压裂用支撑剂含量确定系统。
背景技术
随着国际石油供需的不平衡加剧，勘探的低渗透油气藏所占的比例的不断加大，作为老井改造和低渗透油气藏开发的主要技术手段的压裂施工技术，应用越来越广泛，尤其是在我国这种低渗透油气藏储量巨大的油气资源分布情况下，通过对低渗透油藏和低产井进行压裂改造，有效地提高了油气采收率，促进了油气井的增产增收。支撑剂为所有水力压裂改造和部分酸压改造的必备材料。针对不同类型岩心基质，开展压裂后，进入裂缝中的压裂用支撑剂含量(即裂缝面样品的支撑剂含量)的分析，对评价压裂改造效果，优化压裂设计，提高油气井采收率及油田经济效益具有重要意义。石英砂价格低廉，容易获取，是目前最常用的支撑剂。
传统的矿物识别方法包括手持标本观察和显微镜下观察。在手持标本中，通过矿物的颜色、晶形、光泽、条痕、透明度、发光性、比重、硬度、解理甚至是磁性等特征来判定矿物类型，但这种方法很多时候只能够区分结晶较大、特征较明显的矿物，对于细小的矿物颗粒就很难有分辨的能力；在显微镜下放置岩石样品，观察其偏光、正交偏光或者反光镜下的光型特征，分析岩石的矿物组成，但镜下识别需要耗费大量的人工成本，其正确性也往往会受到观察者的经验和专业限制所影响。
X射线衍射仪技术中对样品进行X射线衍射，当某物质(晶体或非晶体)进行衍射分析时，该物质被X射线照射产生不同程度的衍射现象，物质组成、晶型、分子内成键方式、分子的构型、构象等决定该物质产生特有的衍射图谱，分析其衍射图谱，可以得出样品的元素信息、矿物成分等。但制样时需要把样品研磨成40μm的颗粒，破坏了样品原有形态，不能够准确地识别支撑剂颗粒。而且支撑剂的含量也无法准确确定。因此，为了解支撑剂在裂缝中的铺置情况，迫切需要一种能够快速、准确识别支撑剂，并确定裂缝中支撑剂的含量的方法。
发明内容
针对现有技术中无法快速、准确识别裂缝中的支撑剂，并确定裂缝中支撑剂的含量的技术问题，本发明提供了一种压裂用支撑剂含量确定方法、一种压裂用支撑剂含量确定装置及一种压裂用支撑剂含量确定系统，采用压裂用支撑剂含量确定方法能够精确、快速的得出地层中压裂用支撑剂的含量，有助于评价压裂改造效果，提高油气井采收率及油田经济效益。
为实现上述目的，本发明提供的压裂用支撑剂含量确定方法包括以下步骤：确定支撑剂中的石英组分；确定多个初始筛选条件；将支撑剂与岩心基质按照不同的比例混合，得到多组混合样品；利用所述多组混合样品确定每一初始筛选条件下的支撑剂含量误差；根据多个初始筛选条件对应的支撑剂含量误差，从所述多个初始筛选条件中确定最终筛选条件，其中，所述最终筛选条件包括所述石英组分的含量；利用所述最终筛选条件识别裂缝面样品中的支撑剂，并确定裂缝面样品中支撑剂的含量。
进一步地，所述确定支撑剂中的石英组分，包括：
对支撑剂的各个组分与不同地层的岩心基质的组分进行对比，确定支撑剂中的石英组分。
进一步地，所述利用所述多组混合样品确定每一初始筛选条件下的支撑剂含量误差，包括：
在每一初始筛选条件下，确定混合样品的支撑剂的含量误差；
将多组混合样品的支撑剂的含量误差的平均值确定为该初始筛选条件下的支撑剂含量误差。
进一步地，所述在每一初始筛选条件下，确定混合样品的支撑剂的含量误差，包括：
在每一初始筛选条件下，计算混合样品的检测支撑剂含量；
根据该混合样品的实际支撑剂含量与其检测支撑剂含量的差值，确定该混合样品的支撑剂的含量误差。
进一步地，所述根据多个初始筛选条件对应的支撑剂含量误差，从所述多个初始筛选条件中确定最终筛选条件，包括：
从多个初始筛选条件对应的支撑剂含量误差中确定最小支撑剂含量误差；
将最小支撑剂含量误差对应的初始筛选条件确定为所述最终筛选条件。
进一步地，所述利用所述最终筛选条件识别裂缝面样品中的支撑剂，包括：
根据所述最终筛选条件，从裂缝面样品的多个颗粒中筛选出裂缝面样品石英颗粒；
根据所述最终筛选条件，从岩心基质的多个颗粒中筛选出岩心基质石英颗粒；
根据所述裂缝面样品石英颗粒和所述岩心基质石英颗粒确定支撑剂石英颗粒。
进一步地，所述确定裂缝面样品中支撑剂的含量，包括：
确定裂缝面样品中裂缝面样品石英颗粒的含量；
确定岩心基质中岩心基质石英颗粒的含量；
根据裂缝面样品中裂缝面样品石英颗粒的含量、岩心基质中岩心基质石英颗粒的含量以及支撑剂中的石英颗粒的含量确定所述裂缝面样品中支撑剂的含量。
进一步地，所述裂缝面样品中支撑剂的含量通过以下方式确定：
Pz＝(Ps-Pd)/Py；
其中，Pz为裂缝面样品中支撑剂的含量，Ps为裂缝面样品中裂缝面样品石英颗粒的含量，Pd为岩心基质中岩心基质石英颗粒的含量，Py为支撑剂中的石英颗粒的含量。
本发明第二方面提供一种压裂用支撑剂含量确定装置，所述压裂用支撑剂含量确定装置包括：确定模块，用于确定支撑剂中的石英组分；以及确定多个初始筛选条件；混合样品制备模块，用于将支撑剂与岩心基质按照不同的比例混合，得到多组混合样品；误差确定模块，用于利用所述多组混合样品确定每一初始筛选条件下的支撑剂含量误差；筛选模块，用于根据多个初始筛选条件对应的支撑剂含量误差，从所述多个初始筛选条件中确定最终筛选条件，其中，所述最终筛选条件包括所述石英组分的含量；
支撑剂确定模块，用于利用所述最终筛选条件识别裂缝面样品中的支撑剂，并确定裂缝面样品中支撑剂的含量。
本发明第三方面提供一种压裂用支撑剂含量确定系统，包括上文所述的压裂用支撑剂含量确定装置。
通过本发明提供的技术方案，本发明至少具有如下技术效果：
本发明的压裂用支撑剂含量确定方法，先确定支撑剂中的石英组分，利用石英组分对裂缝面样品中的支撑剂进行识别和并确定支撑剂的含量。确定多个初始筛选条件，将支撑剂与岩心基质按照不同的比例混合，得到多组混合样品。利用所述多组混合样品确定每一初始筛选条件下的支撑剂含量误差，根据支撑剂含量误差从多个初始筛选条件中确定最终筛选条件，然后利用最终筛选条件识别裂缝面样品中的支撑剂，并确定裂缝面样品中支撑剂的含量。根据本发明提供的压裂用支撑剂含量确定方法，能够精确、快速的得出地层中压裂用支撑剂的含量，有助于评价压裂改造效果，提高油气井采收率及油田经济效益。
本发明的其它特征和优点将在随后的具体实施方式部分予以详细说明。
附图说明
附图是用来提供对本发明实施例的进一步理解，并且构成说明书的一部分，与下面的具体实施方式一起用于解释本发明实施例，但并不构成对本发明实施例的限制。在附图中：
图1为本发明实施例提供的压裂用支撑剂含量确定方法的流程图；
图2为本发明实施例提供的压裂用支撑剂含量确定方法中岩心基质的矿物图；
图3为本发明实施例提供的压裂用支撑剂含量确定方法中支撑剂的矿物图；
图4为本发明实施例提供的压裂用支撑剂含量确定方法中的一种石英组分的X射线谱图；
图5为本发明实施例提供的压裂用支撑剂含量确定方法中的另一种石英组分的X射线谱图；
图6为本发明实施例提供的压裂用支撑剂含量确定方法中的另一种石英组分的X射线谱图；
图7为本发明实施例提供的压裂用支撑剂含量确定方法中的另一种石英组分的X射线谱图；
图8为本发明实施例提供的压裂用支撑剂含量确定方法中的另一种石英组分的X射线谱图；
图9为本发明实施例提供的压裂用支撑剂含量确定方法中一组混合样品的矿物图；
图10为本发明实施例提供的压裂用支撑剂含量确定方法中裂缝面样品中筛选出的石英颗粒的示意图；
图11为本发明实施例提供的压裂用支撑剂含量确定装置的示意图。
具体实施方式
以下结合附图对本发明实施例的具体实施方式进行详细说明。应当理解的是，此处所描述的具体实施方式仅用于说明和解释本发明实施例，并不用于限制本发明实施例。
需要说明的是，在不冲突的情况下，本发明中的实施例及实施例中的特征可以相互组合。
在本发明中，在未作相反说明的情况下，使用的方位词如“上、下、顶、底”通常是针对附图所示的方向而言的或者是针对竖直、垂直或重力方向上而言的各部件相互位置关系描述用词。
下面将参考附图并结合实施例来详细说明本发明。
请参考图1，本发明实施例提供一种压裂用支撑剂含量确定方法，方法包括以下步骤：S101：确定支撑剂中的石英组分；S102：确定多个初始筛选条件；S103：将支撑剂与岩心基质按照不同的比例混合，得到多组混合样品；S104：利用所述多组混合样品确定每一初始筛选条件下的支撑剂含量误差；S105：根据多个初始筛选条件对应的支撑剂含量误差，从所述多个初始筛选条件中确定最终筛选条件，其中，所述最终筛选条件包括所述石英组分的含量；S106：利用所述最终筛选条件识别裂缝面样品中的支撑剂，并确定裂缝面样品中支撑剂的含量。
首先执行步骤S101：确定支撑剂中的石英组分。
进一步地，所述确定支撑剂中的石英组分，包括：对支撑剂的各个组分与不同地层的岩心基质的组分进行对比，确定支撑剂中的石英组分。
具体地，本发明实施方式中，支撑剂由多个颗粒组成，其主要成分是石英，即支撑剂的颗粒中大部分为石英颗粒，单个石英颗粒由大量的石英组分和少量的其他组分组成，石英组分又分为多种，至少包括SY1、SY2····SY8。而岩心基质中也含有微量的石英，如果仅以石英去识别裂缝面样品中的支撑剂，则会将岩心基质中的石英计算在内，检测结果大于实际值。因此，本申请中，为了区分支撑剂和岩心基质中的石英，本申请中先制备支撑剂样品和不同地层中未注入支撑剂的岩心基质样品，对支撑剂样品和不同地层中未注入支撑剂的岩心基质样品进行电镜扫描分析+能谱定量分析，分别确定支撑剂和不同地层中的岩心基质的组分，将支撑剂的组分与岩心基质的组分进行对比，发现支撑剂中包括的石英组分为SY1、SY4、SY5，岩心基质中的石英组分为SY1、SY2、SY3、SY4、SY5，因此将SY1、SY4、SY5作为支撑剂中的石英组分，利用SY1、SY4、SY5组分筛选支撑剂中的石英颗粒。
接着执行步骤102：确定多个初始筛选条件。
具体地，本发明实施方式中，确定了多个初始筛选条件，具初始筛选条件请参考表1。
接着执行步骤103：将支撑剂与岩心基质按照不同的比例混合，得到多组混合样品。
接着执行步骤104：利用所述多组混合样品确定每一初始筛选条件下的支撑剂含量误差。
进一步地，所述利用所述多组混合样品确定每一初始筛选条件下的支撑剂含量误差，包括：在每一初始筛选条件下，确定混合样品的支撑剂的含量误差；将多组混合样品的支撑剂的含量误差的平均值确定为该初始筛选条件下的支撑剂含量误差。
进一步地，所述在每一初始筛选条件下，确定混合样品的支撑剂的含量误差，包括：在每一初始筛选条件下，计算混合样品的检测支撑剂含量；根据该混合样品的实际支撑剂含量与其检测支撑剂含量的差值，确定该混合样品的支撑剂的含量误差。
具体地，本发明实施方式中，将支撑剂与同一地层的岩心基质按照不同的比例混合，得到多组混合样品。在每一初始条件下，对所有混合样品进行电镜扫描分析+能谱定量分析，确定出混合样品中的检测支撑剂含量，将混合样品的检测支撑剂含量与该组混合样品的实际支撑剂含量(即混合样品中的支撑剂的含量)做差值，确定该组混合样品的支撑剂的含量误差。将多组混合样品的支撑剂的含量误差取平均值，得到该初始条件下的支撑剂含量误差。
本发明实施方式中，采用自动矿物识别系统对样品进行电镜扫描分析+能谱定量分析，确定组分的含量。自动矿物识别系统应用场景多样，可以应用于实验室、钻井现场、岩心库等复杂环境。样品来源广泛，能够对岩心、岩屑、薄片等多种岩石样品的进行无损测试分析。自动矿物识别系统提供了强大可靠、种类多样的矿物数据库，包含常见的硅酸盐、碳酸盐和黏土矿物等多达2000余种，并且开发了图谱比对的专利算法代替元素法计算组分含量。通过自动矿物识别系统的技术软件控制扫描电子显微镜，采集一帧BSE图像(矿物图)，然后进行矿物颗粒提取、颗粒灰度分相等图像处理，以确定X射线能谱点分析位置(比如图2矿物图中的一个方块点)；然后控制X射线能谱仪自动采集X射线能谱点分析位置的X射线谱图信息，根据X射线谱图信息确定X射线能谱点分析位置的组分。在一帧内所有X射线能谱点分析位置的X射线采集完成后，能够利用自有的算法计算各组分的含量。
本领域技术人员还可以利用其他的检测手段检测样品的组分与含量，本实施例中不做限制。
接着执行步骤105：根据多个初始筛选条件对应的支撑剂含量误差，从所述多个初始筛选条件中确定最终筛选条件，其中，所述最终筛选条件包括所述石英组分的含量。
进一步地，所述根据多个初始筛选条件对应的支撑剂含量误差，从所述多个初始筛选条件中确定最终筛选条件，包括：从多个初始筛选条件对应的支撑剂含量误差中确定最小支撑剂含量误差；将最小支撑剂含量误差对应的初始筛选条件确定为所述最终筛选条件。
具体地，本发明实施方式中，从初始筛选条件对应的支撑剂含量误差中确定最小支撑剂含量误差，将最小支撑剂含量误差对应的初始筛选条件确定为最终筛选条件。
最后执行步骤106：利用所述最终筛选条件识别裂缝面样品中的支撑剂，并确定裂缝面样品中支撑剂的含量。
进一步地，所述利用所述最终筛选条件识别裂缝面样品中的支撑剂，包括：根据所述最终筛选条件，从裂缝面样品的多个颗粒中筛选出裂缝面样品石英颗粒；根据所述最终筛选条件，从岩心基质的多个颗粒中筛选出岩心基质石英颗粒；根据所述裂缝面样品石英颗粒和所述岩心基质石英颗粒确定支撑剂石英颗粒。
进一步地，所述确定裂缝面样品中支撑剂的含量，包括：确定裂缝面样品中裂缝面样品石英颗粒的含量；确定岩心基质中岩心基质石英颗粒的含量；根据裂缝面样品中裂缝面样品石英颗粒的含量、岩心基质中岩心基质石英颗粒的含量以及支撑剂中的石英颗粒的含量确定所述裂缝面样品中支撑剂的含量。
进一步地，所述裂缝面样品中支撑剂的含量通过以下方式确定：
Pz＝(Ps-Pd)/Py；
其中，Pz为裂缝面样品中支撑剂的含量，Ps为裂缝面样品中裂缝面样品石英颗粒的含量，Pd为岩心基质中岩心基质石英颗粒的含量，Py为支撑剂中的石英颗粒的含量。
具体地，本发明实施方式中，利用最终筛选条件裂缝面样品的多个颗粒中筛选，如果颗粒符合最终筛选条件，则判断该颗粒为裂缝面样品石英颗粒。然后确定出裂缝面样品中裂缝面样品石英颗粒的含量Ps。岩心基质中还含有微量的石英颗粒，为了避免误差，利用最终筛选条件对岩心基质进行筛选，如果颗粒符合最终筛选条件，则判断该颗粒为岩心基质石英颗粒，然后确定出岩心基质中岩心基质石英颗粒的含量。再在裂缝面样品石英颗粒中减去岩心基质石英颗粒，即为支撑剂石英颗粒，然后再确定出裂缝面样品中的支撑剂的石英颗粒的含量，即Ps-Pd。在确定岩心基质中岩心基质石英颗粒的含量时，选取不同地层的岩心基质的样品，检测多个样品中的石英颗粒的含量，再取平均值，得到岩心基质石英颗粒的含量。
裂缝面样品中支撑剂的含量通过以下方式确定：Pz＝(Ps-Pd)/Py；
其中，Pz为裂缝面样品中支撑剂的含量，Ps为裂缝面样品中裂缝面样品石英颗粒的含量，Pd为岩心基质中岩心基质石英颗粒的含量，Py为支撑剂中的石英颗粒的含量。
通过本发明提供的方法，能够精确、快速的得出地层中压裂用支撑剂的含量，有助于评价压裂改造效果，提高油气井采收率及油田经济效益。
实施例一
首先制备支撑剂样品、岩心基质样品、裂缝面样品。样品制备步骤包括：(1)样品预处理：将样品进行网筛，除杂、清洗和烘干，得到粒径为0.1-0.8mm的预处理样品。清洗时采用水或者无水乙醇进行清洗，将样品颗粒表面附着物和钻井液彻底清除。(2)样品制备：取预处理样品入模，加入质量体积比g/ml为1：1.1的金相粉和金相液组成的样品树脂液后充分搅拌消除气泡，静置固化，得到粗样；将粗样打磨抛光，清洗干燥后进行导电镀炭处理，得到样品。
将5组支撑剂样品和10组不同深度的岩心基质样品进行电镜扫描分析+能谱定量分析，得到矿物图和X射线谱图。本实施例中，支撑剂采用粒径为20目-40目的石英颗粒。图2为其中一组岩心基质的矿物图，图2a为黑白图，图2b为彩图，由图可知，岩心基质的颗粒中含有石英组分，但是颗粒中还含有较多的杂质；图3为其中一组支撑剂的矿物图，图3a为黑白图，图3b为彩图，由图可知，支撑剂中石英颗粒占比80％，且矿物颗粒含石英纯度较高、颗粒粒径分布集中，另含有20％长石颗粒或石英长石混合颗粒。矿物库中共有8种石英X射线谱图，请参考图4-8，分别为SY1、SY2、SY3、SY4、SY5的X射线谱图。支撑剂中X射线谱图类型为SY1、SY4、SY5，地层中X射线谱图类型为石英SY1、SY2、SY3、SY4、SY5。由此得出，可通过SY1、SY4、SY5识别石英颗粒，并利用石英纯度来区分岩心基质和支撑剂中石英颗粒。
本实施例中，确定了多个初始筛选条件，具体初始筛选条件请参考表1。
将支撑剂与同一地层的岩心基质按照不同的比例混合，得到多组混合样品。在每一初始条件下，对所有混合样品进行电镜扫描分析+能谱定量分析，确定出混合样品中检测支撑剂含量，将混合样品的检测支撑剂含量与该组混合样品的实际支撑剂含量(即混合样品中的支撑剂的含量)做差值，确定该组混合样品的支撑剂的含量误差。将多组混合样品的支撑剂的含量误差取平均值，得到表1所示的该初始条件下的支撑剂含量误差。根据表1还可得出仅利用石英组分筛选支撑剂，误差很大，而利用SY1、SY4、SY5筛选支撑剂准确率高。图9为多组混合样品中的10％支撑剂+90％岩心基质混合样品的矿物图，图9a为黑白图，图9b为彩图。
表1

从初始筛选条件对应的支撑剂含量误差中确定最小支撑剂含量误差为5.9％，将最小支撑剂含量误差5.9％对应的初始筛选条件SY1+SY4+SY5≥95％确定为最终筛选条件。
然后对裂缝面样品进行电镜扫描分析+能谱定量分析，利用最终筛选条件裂缝面样品的多个颗粒中筛选，如果颗粒符合最终筛选条件，则判断该颗粒为裂缝面样品石英颗粒。请参考图10，图10为裂缝面样品的矿物图，图10a为黑白图，图10b为彩图，图10b中蓝色框出的颗粒为石英颗粒(图10a、图10b中仅以白色虚线示意性地选取了其中一个石英颗粒)。然后通过电镜扫描分析+能谱定量分析确定出裂缝面样品中裂缝面样品石英颗粒的含量Ps为34.2％。
对裂岩心基质进行电镜扫描分析+能谱定量分析，利用最终筛选条件对岩心基质进行筛选，如果颗粒符合最终筛选条件，则判断该颗粒为岩心基质石英颗粒，然后确定出岩心基质中岩心基质石英颗粒的含量Pd。在确定岩心基质中岩心基质石英颗粒的含量Pd时，选取不同地层的岩心基质的样品，检测得到表2所示的多个样品中的石英颗粒的含量，再取平均值，得到岩心基质石英颗粒的含量Pd。
表2

在裂缝面样品石英颗粒中减去岩心基质石英颗粒，即为支撑剂石英颗粒，然后再确定出裂缝面样品中的支撑剂的石英颗粒的含量，即34.2％-1％。
支撑剂中的石英颗粒的含量Py为80％，因此，得到裂缝面样品中支撑剂的含量Pz＝(34.2％-1％)/80％＝40.25％。
请参考图11，本发明第二方面提供一种压裂用支撑剂含量确定装置，所述压裂用支撑剂含量确定装置包括：确定模块，用于确定支撑剂中的石英组分；以及确定多个初始筛选条件；混合样品制备模块，用于将支撑剂与岩心基质按照不同的比例混合，得到多组混合样品；误差确定模块，用于利用所述多组混合样品确定每一初始筛选条件下的支撑剂含量误差；筛选模块，用于根据多个初始筛选条件对应的支撑剂含量误差，从所述多个初始筛选条件中确定最终筛选条件，其中，所述最终筛选条件包括所述石英组分的含量；支撑剂确定模块，用于利用所述最终筛选条件识别裂缝面样品中的支撑剂，并确定裂缝面样品中支撑剂的含量。
本发明第三方面提供一种压裂用支撑剂含量确定系统，包括上文所述的压裂用支撑剂含量确定装置。
以上结合附图详细描述了本发明的优选实施方式，但是，本发明并不限于上述实施方式中的具体细节，在本发明的技术构思范围内，可以对本发明的技术方案进行多种简单变型，这些简单变型均属于本发明的保护范围。
另外需要说明的是，在上述具体实施方式中所描述的各个具体技术特征，在不矛盾的情况下，可以通过任何合适的方式进行组合，为了避免不必要的重复，本发明对各种可能的组合方式不再另行说明。
此外，本发明的各种不同的实施方式之间也可以进行任意组合，只要其不违背本发明的思想，其同样应当视为本发明所公开的内容。

Claims (10)

  1. 一种压裂用支撑剂含量确定方法，其特征在于，所述压裂用支撑剂含量确定方法包括：
    确定支撑剂中的石英组分；
    确定多个初始筛选条件；
    将支撑剂与岩心基质按照不同的比例混合，得到多组混合样品；
    利用所述多组混合样品确定每一初始筛选条件下的支撑剂含量误差；
    根据多个初始筛选条件对应的支撑剂含量误差，从所述多个初始筛选条件中确定最终筛选条件，其中，所述最终筛选条件包括所述石英组分的含量；
    利用所述最终筛选条件识别裂缝面样品中的支撑剂，并确定裂缝面样品中支撑剂的含量。
  2. 根据权利要求1所述的方法，其特征在于，所述确定支撑剂中的石英组分，包括：
    对支撑剂的各个组分与不同地层的岩心基质的组分进行对比，确定支撑剂中的石英组分。
  3. 根据权利要求1所述的方法，其特征在于，所述利用所述多组混合样品确定每一初始筛选条件下的支撑剂含量误差，包括：
    在每一初始筛选条件下，确定混合样品的支撑剂的含量误差；
    将多组混合样品的支撑剂的含量误差的平均值确定为该初始筛选条件下的支撑剂含量误差。
  4. 根据权利要求3所述的方法，其特征在于，所述在每一初始筛选条件下，确定混合样品的支撑剂的含量误差，包括：
    在每一初始筛选条件下，计算混合样品的检测支撑剂含量；
    根据该混合样品的实际支撑剂含量与其检测支撑剂含量的差值，确定该混合样品的支撑剂的含量误差。
  5. 根据权利要求1所述的方法，其特征在于，所述根据多个初始筛选条件对应的支撑剂含量误差，从所述多个初始筛选条件中确定最终筛选条件，包括：
    从多个初始筛选条件对应的支撑剂含量误差中确定最小支撑剂含量误差；
    将最小支撑剂含量误差对应的初始筛选条件确定为所述最终筛选条件。
  6. 根据权利要求1所述的方法，其特征在于，所述利用所述最终筛选条件识别裂缝面样品中的支撑剂，包括：
    根据所述最终筛选条件，从裂缝面样品的多个颗粒中筛选出裂缝面样品石英颗粒；
    根据所述最终筛选条件，从岩心基质的多个颗粒中筛选出岩心基质石英颗粒；
    根据所述裂缝面样品石英颗粒和所述岩心基质石英颗粒确定支撑剂石英颗粒。
  7. 根据权利要求6所述的方法，其特征在于，所述确定裂缝面样品中支撑剂的含量，包括：
    确定裂缝面样品中裂缝面样品石英颗粒的含量；
    确定岩心基质中岩心基质石英颗粒的含量；
    根据裂缝面样品中裂缝面样品石英颗粒的含量、岩心基质中岩心基质石英颗粒的含量以及支撑剂中的石英颗粒的含量确定所述裂缝面样品中支撑剂的含量。
  8. 根据权利要求7所述的方法，其特征在于，所述裂缝面样品中支撑剂的含量通过以下方式确定：
    Pz＝(Ps-Pd)/Py；
    其中，Pz为裂缝面样品中支撑剂的含量，Ps为裂缝面样品中裂缝面样品石英颗粒的含量，Pd为岩心基质中岩心基质石英颗粒的含量，Py为支撑剂中的石英颗粒的含量。
  9. 一种压裂用支撑剂含量确定装置，其特征在于，所述压裂用支撑剂含量确定装置包括：
    确定模块，用于确定支撑剂中的石英组分；以及确定多个初始筛选条件；
    混合样品制备模块，用于将支撑剂与岩心基质按照不同的比例混合，得到多组混合样品；
    误差确定模块，用于利用所述多组混合样品确定每一初始筛选条件下的支撑剂含量误差；
    筛选模块，用于根据多个初始筛选条件对应的支撑剂含量误差，从所述多个初始筛选条件中确定最终筛选条件，其中，所述最终筛选条件包括所述石英组分的含量；
    支撑剂确定模块，用于利用所述最终筛选条件识别裂缝面样品中的支撑剂，并确定裂缝面样品中支撑剂的含量。
  10. 一种压裂用支撑剂含量确定系统，其特征在于，包括权利要求9所述的压裂用支撑剂含量确定装置。
PCT/CN2023/126530 2022-10-25 2023-10-25 压裂用支撑剂含量确定方法、装置及系统 WO2024088308A1 (zh)

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