CN112083515A - Quantitative characterization and gas-bearing property evaluation method for excavation effect of low-resistance reservoir of tight sandstone - Google Patents

Quantitative characterization and gas-bearing property evaluation method for excavation effect of low-resistance reservoir of tight sandstone Download PDF

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CN112083515A
CN112083515A CN202010944199.9A CN202010944199A CN112083515A CN 112083515 A CN112083515 A CN 112083515A CN 202010944199 A CN202010944199 A CN 202010944199A CN 112083515 A CN112083515 A CN 112083515A
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low
content
tight sandstone
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CN112083515B (en
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程超
叶榆
张亮
高妍
李培彦
刘兴刚
蒋裕强
周亚东
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Southwest Petroleum University
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    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
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Abstract

The invention discloses a quantitative characterization and gas content evaluation method for excavation effect of low-resistance reservoir of tight sandstone, belongs to the technical field of geophysical logging evaluation, breaks through the dilemma that excavation effect can only be described qualitatively for a long time, and solves the problems that in the prior art, the gas content evaluation effect of the low-resistance reservoir of tight sandstone is not ideal, and the evaluation precision is difficult to meet the production requirement. The invention relates to a quantitative characterization method for excavation effect of low-resistance reservoir of tight sandstone, which mainly calculates the total hydrogen index H of gaseous hydrocarbon according to gas logging informationgtCalculating the mud content V according to the well logging datashEffective porosity phieWater saturation SwTotal hydrogen index in the formation HNH(ii) a Reuse of Hgt、Vsh、Φe、Sw、HNHCalculating excavation effect index H in stratum by using parametersex(ii) a Further according to HexAnd evaluating the gas content of the low-resistivity reservoir of the compact sandstone. The invention realizes the qualitative description to the quantitative characterization of the excavation effect phenomenon, and solves the problemThe method solves the problems of precision and reliability of evaluation of gas content of the low-resistance reservoir of the compact sandstone, and obtains good application effect in the Jurashi group of the Jinhua-autumn forest region.

Description

Quantitative characterization and gas-bearing property evaluation method for excavation effect of low-resistance reservoir of tight sandstone
Technical Field
The invention belongs to the technical field of geophysical logging evaluation, relates to natural gas exploration and development, and particularly relates to a quantitative characterization and gas-bearing property evaluation method for the excavation effect of a low-resistance reservoir of tight sandstone.
Background
In recent years, through deep exploration and old well review, significant exploration results are obtained in the Jurassic system in Jinhua-autumn forest areas in the Sichuan basin, and high-yield gas wells are obtained in the Shaxi temple group No. 5 sand group, the Shashi temple group No. 8 sand group and the Shashi group No. 11 sand group in succession. The statistics of rock electricity experiments and resistivity logging data show that the compact sandstone reservoir in the region has low resistivity and traditional water saturation (S)w) The gas-bearing property evaluation methods such as a single parameter method, a porosity and water saturation/resistivity cross plot and the like cannot meet the requirements on the reliability and the precision of the tight sandstone low-resistance reservoir. With the continuous and deep research, the coupling relation between most compact gas layer well sections and gas logging information is good in the area, and an obvious excavation effect phenomenon is shown on a neutron porosity logging curve. Therefore, the method has important practical significance on how to fully mine logging information to evaluate the gas content of the tight sandstone low-resistivity reservoir.
For a long time, the use of gas saturation (S) has been customaryg) The method is used as an important index parameter for evaluating the gas content of a gas reservoir, and is assisted with the excavation effect phenomena of gas logging and neutron logging to evaluate the gas content of the conventional reservoir. Aiming at the characteristics of strong heterogeneity of a low-porosity low-permeability tight sandstone reservoir, weak response of pore fluid to logging and the like, some scholars try to conduct exploration improvement research on the existing gas bearing evaluation method so as to improve the accuracy and reliability of the gas bearing evaluation of the tight sandstone reservoir. As filed forThe patent No. CN201210185925.9 discloses a gas saturation calculation model based on gas logging data, i.e. Sg=1-(Ct/Cb)-1/nThe key to the method is to determine the maximum outlier (C) of all hydrocarbons or methanet) Gas logging background value of oil gas display layer (C)b) And the regional gas survey oil-gas saturation index n. However, these parameters have large uncertainty, and the reliability of the evaluation result is not high. The patent of application number CN201510079776.1 discloses a rapid evaluation method of a quasi-compact reservoir and a multi-index evaluation method of the quasi-compact reservoir. The method utilizes the thickness (H), porosity (phi), water saturation (S) of the reservoirw) Saturation of flushing zone (S)xo) Volume ratio of mobile hydrocarbon to water in pores (. PHI.)R) And (5) calculating reservoir fluid identification indexes by using the equal parameters, and evaluating the fluid properties. Simarit et al (2014) use gas logging data to establish a gas component star chart to quantitatively calculate the gas-oil ratio of a complex oil-gas-water system, but the chart is only suitable for evaluating the gas content of a gas reservoir containing heavy hydrocarbon components. Xuxing et al (2015) quantitatively characterize excavation effect by using the difference between neutron porosity and density porosity to solve the problem of identifying high gas-oil ratio oil reservoirs in Irake H oil fields, but the method is not practical for formations which are similar to the Shigao group of Jurassic in the Sichuan basin and mainly comprise mudstone and have very poor borehole conditions. Zhanghonglin et al (2016) take Tibet Manshu river group tight sandstone reservoirs in northeast China as research objects, reconstruct a gas-containing index curve by intersecting neutrons and acoustic logging curves, and perform gas-containing index inversion based on an AVO attribute body so as to enhance the prediction capability of the AVO attribute on the gas-containing property. The method comprises the key steps of standardizing neutron and sound wave curves to the same scale, and constraining by using a natural gamma curve to obtain a gas-containing index curve. The method only calculates the gas index curve from the mathematical point of view and lacks theoretical support. The invention patent of application No. CN201811323041.9 'a method for identifying a gas layer by using element gamma energy spectrum logging' discloses a method for identifying a gas layer by using element gamma energy spectrum logging. The method comprises the steps of firstly determining the ratio (R) of the non-bomb gamma counting rate of fast neutrons to the thermal neutron capture gamma counting rate, and then establishing a response method among gas saturation, porosity and RThe process identifies the gas layer. The difference spectrum method and the shift spectrum method based on the nuclear magnetic resonance logging data can effectively identify the gas layer, but the method is not suitable for being comprehensively developed due to the high cost of the nuclear magnetic resonance logging. In summary, the research depth of the gas layer mining effect in the prior art is not enough, most of the research depth still stays at the qualitative description level, and the logging information needs to be deeply mined. The evaluation method for the gas content has a poor evaluation effect on the gas content of the low-resistance reservoir of the compact sandstone similar to the Jurasma series Shaxi temple in the Sichuan basin, and the evaluation precision is difficult to meet the production requirement.
Therefore, the quantitative characterization method for the excavation effect of the low-resistivity reservoir of the tight sandstone is provided for evaluating the gas content, and becomes a problem to be solved by the technical personnel in the field.
Disclosure of Invention
One of the purposes of the invention is to provide a quantitative characterization method for the excavation effect of the low-resistance reservoir of the compact sandstone, which is rapid, visual and high in accuracy, and breaks through the dilemma that the excavation effect can only be described qualitatively for a long time.
The invention also aims to provide a method for evaluating the gas content of the low-resistance reservoir of the compact sandstone, which utilizes the excavation effect index obtained by the quantitative characterization method to evaluate the gas content.
In order to achieve the purpose, the technical scheme adopted by the invention is as follows:
the invention relates to a quantitative characterization method for excavation effect of a tight sandstone low-resistivity reservoir, which comprises the following steps of:
step 1, calculating the total hydrogen index H of the gas hydrocarbon for gas logginggt
Step 2. argillaceous content VshDetermining and calibrating;
step 3. effective porosity ΦeDetermining and calibrating;
step 4. water saturation SwCalculating (1);
step 5. Total Hydrogen index H in tight sandstone formationNHCalculating (1);
step 6, excavating effect index H in stratumexAnd (4) calculating.
Section of the inventionIn some embodiments, in step 1, the total hydrogen index H of the gaseous hydrocarbongtThe calculation formula of (2) is as follows:
in the formula, HgtIs the total hydrogen index of the gaseous hydrocarbon; rhogIs the relative density of natural gas and has the unit of g/cm3;MiThe unit is the molar mass of a single component of gas logging, and the unit is g/mol; y isiThe hydrogen atom number of the single component is recorded for gas logging.
In neutron logging, the hydrogen index is defined as 1cm3The ratio of the number of hydrogen nuclei in any rock or mineral to the number of hydrogen nuclei for the same volume of fresh water is denoted by H. By this definition, the hydrogen index H of a mineral or rock composed of a compound can be determined by the following formula:
wherein M is the molar mass of the compound, g/mol; rho is density, g/cm3(ii) a y is the number of hydrogen atoms.
Thus, according to equation (1), the hydrogen index H can be calculated from the composition and density of the gaseous hydrocarbongt. Assuming that a pure hydrocarbon has the formula CxHy(ii) a I.e. a molecular weight of 12x + y. For example, methane of the formula CH4The molecular weight is 12+4 ═ 16. The density is ρ from the formula (1)gThe hydrogen index of the hydrocarbon of (a) is:
it is known that gas logging contains abundant hydrocarbon information, which allows the measurement of the content of hydrocarbon gases and non-hydrocarbon gases. Wherein the hydrocarbon gas component comprises primarily methane (CH)4,C1) Ethane (C)2H6,C2) Propane (C)3H8,C3) N-butane (C)4H10,nC4) Isobutane (C)3H7,iC4) N-pentane ((C)5H12,nC5) Iso-pentane (C), iso-pentane (C)4H9,iC5) Etc.; the non-hydrocarbon gas component comprising mainly nitrogen (N)2) Carbon dioxide (CO)2) Carbon monoxide (CO), hydrogen (H)2) Hydrogen sulfide (H)2S), and the like.
Therefore, the total hydrogen index of each component of the gas logging can be obtained from the formula (2):
in the formula, HgtIs the total hydrogen index of the gaseous hydrocarbon; rhogIs the relative density of natural gas in g/cm3;MiThe molar mass is the molar mass of a gas logging single component, g/mol; y isiThe hydrogen atom number of the single component is recorded for gas logging.
In some embodiments of the present invention, in the step 2, the argillaceous content V isshCalculating by adopting a natural gamma curve or a natural gamma energy spectrum curve, and calibrating by using rock core data;
in the embodiment of the invention, the argillaceous content V is calculated by adopting a natural gamma curve or a natural gamma energy spectrum curvesh
Where Sh is the relative value of natural gamma, GR is the measured value of natural gammaminNatural gamma value, GR, for pure sandstonemaxNatural gamma value of pure mudstone; GCUR is the empirical coefficient associated with the age of the geology, taking 2 for old strata and 3.7 for new strata.
Preferably, the natural gamma curve or the natural gamma energy spectrum curve refers to a logging curve after filtering and regional standardization;
preferably, the core data refers to the restored core mass content data; more preferably, it is the whole rock clay analysis or particle size analysis data.
In some embodiments of the invention, the effective porosity Φ in step 3 iseThe method is obtained by utilizing the calculation of an acoustic wave or a density logging curve, and is calibrated by the physical property analysis data of the rock core;
preferably, the sonic or density logs are normalized;
preferably, the data subjected to core physical property analysis is calibrated by core analysis porosity; more preferably, the core analysis porosity is subjected to depth homing;
preferably, after calibration of core physical property analysis data, the effective porosity phi obtained by logging calculationeIs within the tolerance range specified by the reserve specification.
In the embodiment of the invention, the effective porosity phi of the reservoir is calculated by utilizing sound wavese
ΔT=Φe.ΔTmf+Vsh.ΔTsh+Vma.ΔTma
Φe+Vsh+Vma=1
Wherein, Delta T is a sound wave time difference curvemfAcoustic time difference, Δ T, for mud filtrateshIs the mudstone acoustic time difference, Δ TmaFor sandstone frameworks acoustic time difference, VmaIs the volume of the sandstone framework; vshIs the argillaceous content.
In some embodiments of the invention, S in step 4 iswCalculated from the Archie et al model.
In some embodiments of the invention, in step 5, the total hydrogen index H in the tight sandstone formationNHThe calculation formula of (2) is as follows:
HNH=Φe[SwHw+(1-Sw)Hgt]+Hsh.Vsh (4)
in the formula phieEffective porosity; swThe water saturation; hwIs the hydrogen index of water, HgtIs the total hydrogen index of the gaseous hydrocarbon; vshIs the mud content; hshIs the hydrogen index of mudstone.
Wherein HgtCalculated in step 1; vshCalculated in step 2; Φ e is calculated in step 3; swCalculated by the Archie's formula or other water saturation models. The other water saturation models are prior art.
In some embodiments of the invention, H in step 6 isexThe calculation formula of (2) is as follows:
Hex=HNH-CNL (5)
in the formula (II)exIs the digging effect index; hNHThe total hydrogen index in the formation, CNL is the neutron log;
preferably, the CNL is subjected to a normalization process.
The invention relates to a method for evaluating gas content of low-resistivity reservoir of tight sandstone, which adopts the excavation effect index HexEvaluation was carried out.
When the excavation effect phenomenon is obvious, namely the research area HexWhen the content is more than 2.5%, the evaluation result is a gas layer;
when the excavation effect is general, i.e. region of investigation HexWhen the content is 1.5% -2.5%, the evaluation result is a poor gas layer;
when there is a slight excavation effect phenomenon, i.e. study region HexWhen the content is less than 1.5%, the evaluation result is a gas-containing layer.
Compared with the prior art, the invention has the following beneficial effects:
the invention has scientific design and ingenious conception, creatively utilizes gas logging information to calculate the hydrogen index of the natural gas, uses a rock volume physical model to calculate the total hydrogen index in the stratum, and combines a neutron logging curve to quantitatively calculate the excavation effect parameter. The method realizes qualitative description to quantitative characterization of excavation effect phenomena, effectively solves the problems of precision and reliability of evaluating the gas content of the low-resistivity reservoir of the tight sandstone, and obtains good application effect in the Jurashi group of Jinhua-autumn forest region.
Drawings
FIG. 1 is a flow chart of the present invention.
FIG. 2 is a diagram of the calculation result of the invention for the gas saturation of the 18 well in autumn forest.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail below with reference to the accompanying drawings. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention. In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of description and simplicity of description, but do not indicate or imply that the device or element being referred to must have a particular orientation or be constructed and operated in a particular orientation, and thus, it should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. In the description of the present invention, it should be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; of course, mechanical connection and electrical connection are also possible; in addition, the components may be directly connected, indirectly connected through an intermediate medium, or may be connected through the specification in two elements. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
As shown in fig. 1, the quantitative characterization method for the excavation effect of the tight sandstone low-resistivity reservoir provided by the invention comprises the following steps:
step 1, calculating the total hydrogen index H of the gas hydrocarbon for gas logginggt
Step 2. argillaceous content VshDetermining and calibrating;
step 3. effective porosity ΦeDetermining and calibrating;
step 4. water saturation SwCalculating (1);
step 5. Total Hydrogen index H in tight sandstone formationNHCalculating (1);
step 6, excavating effect index H in stratumexAnd (4) calculating.
Wherein, in the step 1, the total hydrogen index H of the gaseous hydrocarbongtThe calculation formula of (2) is as follows:
in the formula, HgtIs the total hydrogen index of the gaseous hydrocarbon; rhogIs the relative density of natural gas and has the unit of g/cm3;MiThe unit is the molar mass of a single component of gas logging, and the unit is g/mol; y isiThe hydrogen atom number of the single component is recorded for gas logging.
In the step 2, the argillaceous content VshCalculating by adopting a natural gamma curve or a natural gamma energy spectrum curve, and calibrating by using rock core data;
the natural gamma curve or the natural gamma energy spectrum curve refers to a logging curve after filtering and regional standardization;
the core data refers to the restored core mass content data; whole rock clay analysis or particle size analysis data may be used.
Wherein, in the step 3, the effective porosity phieThe method is obtained by utilizing the calculation of an acoustic wave or a density logging curve, and is calibrated by the physical property analysis data of the rock core;
the acoustic or density well logging curve is subjected to standardization processing;
calibrating the porosity of the analyzed data of the core physical property; performing deep homing treatment on the core analysis porosity;
after calibration of core physical property analysis data, effective porosity phi obtained by logging calculationeIs within the tolerance range specified by the reserve specification.
Wherein S in the step 4wCalculated from the Archie et al model.
Wherein, in the step 5, the HNHThe calculation formula of (2) is as follows:
HNH=Φe[SwHw+(1-Sw)Hgt]+Hsh·Vsh
in the formula phieEffective porosity; swThe water saturation; hwIs the hydrogen index of water, HgtIs the total hydrogen index of the gaseous hydrocarbon; vshIs the mud content; hshIs the hydrogen index of mudstone.
Wherein, in the step 6, HexThe calculation formula of (2) is as follows:
Hex=HNH-CNL
in the formula (II)exIs the digging effect index; hNHThe total hydrogen index in the formation, CNL is the neutron log;
the CNL is normalized.
The invention provides a method for evaluating gas content of low-resistance reservoir of tight sandstone, which adopts the excavation effect index HexEvaluation was carried out.
In order to make the technical scheme of the invention better understood by those skilled in the art, the invention is described in detail by taking the autumn forest 18 well as an example:
(1) calculating the hydrogen index H of natural gas in the stratum according to the formula (3) by using the component data of the gas logging datagt. The statistical data of the sand two-stage gas sample in the region show that the natural gas mainly shows that the content of light hydrocarbon is high, the content of methane is generally between 90 percent and 93 percent, and the relative density (rho) of the natural gasg) An average of 0.615, and no hydrogen sulfide and no hydrogen. Thus the regionThe hydrogen index of natural gas can be calculated from equation (3), i.e.:
in the formula VciThe hydrocarbon component data was recorded for gas logging.
(2) Calculating the mud content V by using the natural gamma or the natural gamma energy spectrum curvesh
Wherein S ishIs a natural gamma relative value, GR is a natural gamma measured value, GRminNatural gamma value, GR, for pure sandstonemaxNatural gamma value of pure mudstone; GCUR is the empirical coefficient associated with the age of the geology, taking 2 for old strata and 3.7 for new strata.
(3) Method for calculating effective porosity phi of reservoir by utilizing sound wavese
ΔT=Φe.ΔTmf+Vsh.ΔTsh+Vma.ΔTma
Φe+Vsh+Vma=1
Wherein, Delta T is a sound wave time difference curvemfAcoustic time difference, Δ T, for mud filtrateshIs the mudstone acoustic time difference, Δ TmaFor sandstone frameworks acoustic time difference, VmaIs the volume of the sandstone framework; vshIs the argillaceous content.
(4) H obtained by using a rock volume physical model of neutron logging and adopting a formula (4)NHCalculating excavation effect index HexAnd the air-bearing performance evaluation is carried out according to the parameters, and the evaluation result is shown in figure 2.
HNH=Φe[SwHw+(1-Sw)Hgt]+Hsh·Vsh (4)
In the formula phieEffective porosity; swThe water saturation; hwIs the hydrogen index of water, HgtIs the total hydrogen index of the gaseous hydrocarbon; vshIs the mud content; hshIs the hydrogen index of mudstone.
Wherein HgtCalculated in step 1; vshCalculated in step 2; Φ e is calculated in step 3; swCalculated from the Archie et al model.
Hex=HNH-CNL (5)
In the formula (II)exIs the digging effect index; hNHCNL is the total hydrogen index in the formation and the neutron log.
Practice results show that the excavation effect index calculated by the technology can quickly and accurately evaluate the gas content of the reservoir.
Finally, it should be noted that: the above embodiments are only preferred embodiments of the present invention to illustrate the technical solutions of the present invention, but not to limit the technical solutions, and certainly not to limit the patent scope of the present invention; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention; that is, the technical problems to be solved by the present invention, which are not substantially changed or supplemented by the spirit and the concept of the main body of the present invention, are still consistent with the present invention and shall be included in the scope of the present invention; in addition, the technical scheme of the invention is directly or indirectly applied to other related technical fields, and the technical scheme is included in the patent protection scope of the invention.

Claims (9)

1. A quantitative characterization method for excavation effect of a tight sandstone low-resistivity reservoir is characterized by comprising the following steps:
step 1, calculating the total hydrogen index H of the gas hydrocarbon for gas logginggt
Step 2. argillaceous content VshDetermining and calibrating;
step 3. effective porosity ΦeDetermining and calibrating;
step 4. water saturation SwCalculating (1);
step 5, total hydrogen index H in compact sandstone stratumNHCalculating (1);
step 6, excavating effect index H in stratumexAnd (4) calculating.
2. The method for quantitatively characterizing the excavation effect of the tight sandstone low-resistivity reservoir according to claim 1, wherein in the step 1, the total hydrogen index H of the gaseous hydrocarbon isgtThe calculation formula of (2) is as follows:
in the formula, HgtIs the total hydrogen index of the gaseous hydrocarbon; rhogIs the relative density of natural gas and has the unit of g/cm3;MiThe unit is the molar mass of a single component of gas logging, and the unit is g/mol; y isiThe hydrogen atom number of the single component is recorded for gas logging.
3. The method for quantitatively characterizing the excavation effect of the tight sandstone low-resistivity reservoir according to claim 2, wherein in the step 2, the shale content VshCalculating by adopting a natural gamma curve or a natural gamma energy spectrum curve, and calibrating by using rock core data;
preferably, the natural gamma curve or the natural gamma energy spectrum curve refers to a logging curve after filtering and regional standardization;
preferably, the core data refers to the restored core mass content data; more preferably, it is the whole rock clay analysis or particle size analysis data.
4. The method for quantitatively characterizing the excavation effect of the tight sandstone low-resistivity reservoir according to claim 3, wherein in the step 3, the effective porosity phieThe method is obtained by utilizing the calculation of an acoustic wave or a density logging curve, and is calibrated by the physical property analysis data of the rock core;
preferably, the sonic or density logs are normalized;
preferably, the data subjected to core physical property analysis is calibrated by core analysis porosity; more preferably, the core analysis porosity is subjected to depth homing;
preferably, after calibration of core physical property analysis data, the effective porosity phi obtained by logging calculationeIs within the tolerance range specified by the reserve specification.
5. The method for quantitatively characterizing the excavation effect of the tight sandstone low-resistivity reservoir according to claim 4, wherein S in the step 4 iswCalculated by the Archie's formula or other water saturation models.
6. The method for quantitatively characterizing the excavation effect of the tight sandstone low-resistivity reservoir according to claim 5, wherein in the step 5, the total hydrogen index H in the tight sandstone formationNHThe calculation formula of (2) is as follows:
HNH=Φe[SwHw+(1-Sw)Hgt]+Hsh·Vsh
in the formula phieEffective porosity; swThe water saturation; hwHydrogen index of water, HgtIs the total hydrogen index of the gaseous hydrocarbon; vshIs the mud content; hshIs the hydrogen index of mudstone.
7. The method for quantitatively characterizing the excavation effect of the tight sandstone low-resistivity reservoir according to claim 6, wherein the H in the step 6exThe calculation formula of (2) is as follows:
Hex=HNH-CNL
in the formula (II)exIs the digging effect index; hNHThe total hydrogen index in the formation, CNL is the neutron log;
preferably, the CNL is subjected to a normalization process.
8. The method for evaluating the gas content of the tight sandstone low-resistivity reservoir is characterized by adopting the excavation effect index H of any one of claims 1 to 7exEvaluation was carried out.
9. The method for evaluating the gas content of the tight sandstone low-resistivity reservoir according to claim 8, wherein the gas content is HexMore than 2.5%, the evaluation result is a gas layer;
when H is presentexWhen the content is 1.5% -2.5%, the evaluation result is a poor gas layer;
when H is presentexWhen the content is less than 1.5%, the evaluation result is a gas-containing layer.
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