CN111915447A - Quantitative evaluation method for natural gas diffusion dissipation rate - Google Patents
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Abstract
The invention discloses a quantitative evaluation method for natural gas diffusion loss rate, and belongs to the technical field of natural gas diffusion. In the prior art, the research on natural gas diffusion mainly focuses on calculation of natural gas diffusion amount, but the research on natural gas diffusion and loss rate is less, and the existing concept and calculation method are not available. The method comprises the following steps: calculating the hydrocarbon generation intensity of the hydrocarbon source rock; determining a hydrocarbon expulsion coefficient of the hydrocarbon source rock applicable to the research area, and multiplying the hydrocarbon expulsion coefficient by the hydrocarbon generation strength to obtain the hydrocarbon expulsion strength; calculating the natural gas diffusion loss according to a Fick first law, and dividing the natural gas diffusion loss by the area to obtain the natural gas diffusion loss strength; obtaining the natural gas diffusion and loss rate according to the natural gas diffusion and loss strength to hydrocarbon source rock hydrocarbon discharge strength; and evaluating the diffusion and loss degree of the natural gas of the gas reservoir according to the diffusion and loss rate of the natural gas. The invention provides a concept and a calculation method of natural gas diffusion and loss rate for the first time, provides a new way for quantitatively evaluating the diffusion and loss degree of natural gas of a gas reservoir, and provides a new method for evaluating the quality of the storage condition of the gas reservoir.
Description
Technical Field
The invention relates to a quantitative evaluation method for natural gas diffusion and loss rate of a gas reservoir, which is particularly suitable for quantitative evaluation of natural gas loss degree and evaluation of gas field storage conditions and belongs to the technical field of natural gas diffusion.
Background
Natural gas has strong diffusivity underground due to small molecules, light weight and strong activity. The diffusion of natural gas is a migration process from concentrated to dispersed, and although the diffusion of natural gas in underground rocks is very slow, it can be carried out continuously over a long geological history period, and the cumulative diffusion is very considerable, and numerous studies have shown that the diffusion is sufficient to destroy a natural gas reservoir with industrial exploitation value. Therefore, the establishment of the evaluation method of the natural gas diffusion and loss degree has great significance for the migration, aggregation and storage research of the natural gas and the evaluation of the perspective resources.
The research of the prior literature on the natural gas diffusion mainly focuses on the calculation of the natural gas diffusion quantity, and the natural gas diffusion quantity is calculated on the basis of the Fick's first law, but the research on the natural gas diffusion and loss rate is very little. In order to quantitatively evaluate the diffusion and loss degree of the natural gas of the gas reservoir, the concept of the diffusion and loss rate of the natural gas and a calculation method thereof are put forward for the first time, namely: the natural gas diffusion loss rate is a percentage value of the natural gas diffusion amount and the natural gas storage amount, and can be obtained by comparing the natural gas diffusion loss strength with the hydrocarbon source rock hydrocarbon discharge strength.
Disclosure of Invention
The invention aims to provide a method for calculating the natural gas diffusion and loss rate, so as to realize quantitative evaluation of the natural gas diffusion and loss degree and solve the problem that the existing evaluation standard of the natural gas diffusion and loss degree is irrelevant to the natural gas storage capacity.
In order to achieve the purpose, the invention adopts the following technical scheme:
a quantitative evaluation method for natural gas diffusion dissipation rate comprises the following steps:
s1. calculating the hydrocarbon generation intensity of the hydrocarbon source rock per unit area;
s2, determining a hydrocarbon source rock hydrocarbon expulsion coefficient suitable for the target area, and multiplying the hydrocarbon generation intensity of the hydrocarbon source rock by the hydrocarbon source rock hydrocarbon expulsion coefficient to obtain the hydrocarbon source rock hydrocarbon expulsion intensity;
s3., calculating the natural gas diffusion and dispersion amount according to the natural gas diffusion and dispersion geological model and the Fick's first law to obtain an estimation formula of the natural gas diffusion and dispersion amount of the gas reservoir, and dividing the natural gas diffusion and dispersion amount by the natural gas diffusion area to obtain the natural gas diffusion and dispersion strength;
s4. dividing the natural gas diffusion loss strength by the hydrocarbon source rock hydrocarbon discharge strength to obtain the natural gas diffusion loss rate;
s5., evaluating the diffusion and loss degree of the natural gas of the gas reservoir according to the diffusion and loss rate of the natural gas, and evaluating the quality of the storage condition of the gas reservoir.
The mathematical model of hydrocarbon generation intensity of the hydrocarbon source rock per unit area in the step (s1) is Qg=H·ρr·K·CDisabled person·Dgas·10-4Where H-source rock thickness (m), ρrDensity of source rock (t/m)3) K-original organic carbon recovery coefficient, CDisabled personContent (%) of residual organic carbon in source rock, DgasYield of original organic matter gaseous hydrocarbons (m)3/t.Toc),QgHydrocarbon Strength (. times.10)8m3/km2)。
Respectively calculating the hydrocarbon generation intensity of two hydrocarbon source rocks of the stone-carbon two-fold coal rock and the dark mudstone, and superposing to obtain the total hydrocarbon generation intensity; using cumulative oil gas yield chart of type III organic matter to make projection, according to the yield of oil passing through the liquid hydrocarbon generation peak, continuously cracking into gaseous hydrocarbon, and making the oil yield be equal to about 700m according to 1 ton of oil3Converting natural gas into gas, and obtaining the yield of original organic matter gaseous hydrocarbon.
The hydrocarbon expulsion factor of the source rock in the step (s2) is the ratio of the amount of expelled hydrocarbons to the amount of generated hydrocarbons of the source rock.
The hydrocarbon expulsion coefficient of the source rock of step (s2) is 75%.
The gas reservoir natural gas diffusion dispersion estimation formula of the step (s3) isWherein: qPowder medicineGas reservoir natural gas diffusion loss (m)3) C-gas concentration (m) in gas reservoir3/m3),C0Surface gas concentration (m)3/m3) D-natural gas diffusion coefficient (m) of rock in overlying strata of gas reservoir3And/s), t is the diffusion time(s) of the natural gas of the gas reservoir, and Z is the diffusion loss distance (m) of the natural gas of the gas reservoir.
Step (s3) using the gas-containing area of the gas reservoir as the natural gas diffusion area, and according to the data of the completed well, the area where the well is completed comprehensively considers the boundary of the gas-containing area by developing the half sum effective sand thickness distribution diagram of the well spacing; in areas where drilling is not completed, the gas-containing area boundary is defined by the river control area by using the deposition characteristic research result.
And (s3) taking the buried depth of the gas reservoir as the diffusion and dissipation distance of the natural gas, and taking 140Ma as the diffusion time of the natural gas in the gas reservoir.
The invention has the following advantages: the concept of natural gas diffusion and loss rate and the calculation method thereof are put forward for the first time, the natural gas diffusion and loss strength is combined with the hydrocarbon source rock hydrocarbon expulsion strength, the natural gas diffusion and loss rate is utilized to quantitatively evaluate the gas reservoir natural gas diffusion and loss degree, a new way is provided for quantitatively evaluating the gas reservoir natural gas diffusion and loss degree, and a new method is provided for evaluating the quality of the gas reservoir storage condition.
Drawings
FIG. 1 is a graph of cumulative hydrocarbon yield for type III organic matter;
FIG. 2 is a hydrocarbon generation intensity contour map of a Su X block coal two-tier coal rock in a Su Li Ge gas field;
FIG. 3 is a hydrocarbon generation intensity contour map of a Su X-block rock char dyadic dark shale in a Su-Rick gas field;
FIG. 4 is a contour map of the total hydrocarbon generation intensity of a Su X block rock-carbon dyadic source rock in a Su-Ger gas field;
FIG. 5 is a contour map of the hydrocarbon discharge intensity of a Su X block rock-carbon two-tier hydrocarbon source rock in a Su Li Ge gas field;
FIG. 6 is a geological model diagram of natural gas diffusion and loss;
FIG. 7 is a contour plot of diffusion dissipation rates of two-tier gas reservoirs in the Suxblock of the Suliger gas field.
Detailed Description
The invention is described in further detail below with reference to the following figures and detailed description:
the embodiment of the invention provides a quantitative evaluation method for natural gas diffusion dissipation rate, wherein a Su X block of a Su Li Ge gas field is set as a target area, and the method comprises the following steps:
s1. calculate the hydrocarbon generation intensity of the hydrocarbon source rock per unit area.
The hydrocarbon generation intensity mathematical model of the hydrocarbon source rock per unit area is Qg=H·ρr·K·CDisabled person·Dgas·10-4Where H-source rock thickness (m), ρrDensity of source rock (t/m)3) K-original organic carbonCoefficient of restitution, CDisabled personContent (%) of residual organic carbon in source rock, DgasYield of original organic matter gaseous hydrocarbons (m)3/t.Toc),QgHydrocarbon Strength (. times.10)8m3/km2)。
The source rocks are two kinds, including the two-fold coal rock and the dark mudstone, and the rock density of the two-fold dark mudstone of the coal in Su X block of the Su Li Ge gas field is generally 2.5-2.65 (t/m)3) Taking the average value of 2.6t/m3The density of the rock-coal two-stacking system coal rock is 1.55t/m3。
Table 1 is derived from the publication published in 2016 of zheng haiqiao, and as shown in table 1, the average organic carbon contents of the slate-char dyno coal and the dark mudstone are averaged to obtain the organic carbon content of about 73.423% in the slate-char dyno coal and about 2.707% in the slate-char dyno dark mudstone.
TABLE 1 statistical table of Ordosi basin rock carbon dyad series hydrocarbon source rock organic carbon
Fig. 1 is a graph of cumulative oil and gas yield of type iii organic matter from the published article of royal jelly 2010, as shown in fig. 1, based on the results of a triallel lignite simulation experiment on the sikawa basin. The template is adopted for projection, and the vitrinite reflectivity R of Su X block coal is adoptedo1.3 to 2.0 percent, and the intermediate value is 1.6 percent, so that the gas production rate is 135m3TOC, oil yield of 7.5kg/t.TOC, continuous cracking of oil into gaseous hydrocarbon after the production peak of liquid hydrocarbon, and oil yield of about 700m per 1 ton of oil3Converting natural gas into gas to obtain original organic matter gaseous hydrocarbon yield DgasIs 140.25m3TOC. The original organic carbon recovery coefficient K of surrigo gas field threo X block was found to be 1.57 according to the partition standard derived from tispot et al.
And (3) calculating the hydrocarbon generation intensity of the rock-carbon two-stacking system coal rock, then calculating the hydrocarbon generation intensity of the rock-carbon two-stacking system dark shale, and superposing the two to obtain the total hydrocarbon generation intensity, wherein the total hydrocarbon generation intensity is shown in a table 2.
The source rock thicknesses for the surrigo gas field sux block are shown in table 2.
The hydrocarbon generation intensity and the total hydrocarbon generation intensity of various hydrocarbon source rocks are plotted as shown in figures 2, 3 and 4, and the total hydrocarbon generation intensity of the Su X block of the Su Li Ge gas field is 20-36 multiplied by 108m3/km2S173 well region up to 36 × 108m3/km2The above.
TABLE 2 table of the results of the calculation of the rock thickness and hydrocarbon generation strength of the rock-carbon dyadic series hydrocarbon source in each well area
And S2, determining a hydrocarbon expulsion coefficient suitable for the hydrocarbon source rock in the research area, and multiplying the hydrocarbon generation intensity of the hydrocarbon source rock by the hydrocarbon expulsion coefficient to obtain the hydrocarbon expulsion intensity of the hydrocarbon source rock.
The hydrocarbon source rock hydrocarbon expulsion coefficient refers to the ratio of the amount of hydrocarbon expelled to the amount of hydrocarbon produced from the source rock.
The organic matter of the rock-carbon two-stack series hydrocarbon source rock is mainly type III, the thermal evolution of the rock-carbon two-stack series hydrocarbon source rock reaches the maturation-high maturation stage, the abundance of the organic matter is generally high, the natural gas in the hydrocarbon source rock is mainly subjected to hydrocarbon discharge in the modes of gas expansion, microcracks and the like, and the hydrocarbon discharge coefficient is determined to be 75%.
The hydrocarbon expulsion coefficient is multiplied by the hydrocarbon generation intensity to obtain the hydrocarbon expulsion intensity of the hydrocarbon source rock, which is shown in table 3.
The contour map of the hydrocarbon expulsion intensity of the Su X block rock of the Su Li Ge gas field is shown in FIG. 5, and the hydrocarbon expulsion intensity of the Su X block rock of the Su Li Ge gas field is 15-27 multiplied by 108m3/km2Partial area (S193 well) is higher than 27X 108m3/km2。
TABLE 3 evaluation results of hydrocarbon discharge intensity for each well
s3. calculating the natural gas diffusion and dispersion quantity according to the natural gas diffusion and dispersion geological model and the estimation formula of the natural gas diffusion and dispersion quantity of the gas reservoir obtained by the Fick's first law, and obtaining the natural gas diffusion and dispersion strength by the specific area of the natural gas diffusion and dispersion quantity.
Due to the gas concentration difference between the gas reservoir and the overlying stratum, the natural gas can diffuse and dissipate to the earth surface through the rock pores of the overlying stratum, and the process is shown in the geological model of fig. 6.
The estimation formula of the diffusion and dispersion amount of the natural gas of the gas reservoir isWherein: qPowder medicineGas reservoir natural gas diffusion loss (m)3) C-gas concentration (m) in gas reservoir3/m3),C0Surface gas concentration (m)3/m3) S-gas reservoir Natural gas diffusion area (m)2) D-natural gas diffusion coefficient (m) of rock in overlying strata of gas reservoir3And/s), t is the diffusion time(s) of the natural gas of the gas reservoir, and Z is the diffusion loss distance (m) of the natural gas of the gas reservoir.
The concentration difference (C-Co) between the gas reservoir and the surface gas in the Su X block of the Su Li Ge gas field and the natural gas diffusion coefficient (D) of the rock of the overlying strata of the gas reservoir are known to be 2.66m respectively from the published literature published in 2009 by Li Jianmin3/m3、0.8×10-10m3/s。
Taking the gas-containing area of the gas reservoir as the natural gas diffusion area, and comprehensively considering the boundary of the gas-containing area by developing a half-sum effective sand thickness distribution diagram of the well spacing of the well according to the information of the completed well; in areas without drilled wells, the deposit characteristic research result is adopted, the gas-containing area boundary is defined by the river channel control area, and the gas-containing area of the gas reservoir is 1773.788km according to statistics2。
The natural gas is diffused from the gas reservoir to the earth surface, so that the gas reservoir burial depth can be used as the natural gas diffusion and dissipation distance, and the gas reservoir is positioned in a mountain1Segment and box8Segment, average gas reservoir burial depth 3579 m. Natural gas accumulation period is mainly concentrated on late dwarfismAnd 140Ma is adopted as the diffusion time of gas reservoir natural gas from Luoshen to early chalkiness.
The natural gas diffusion loss Q is obtained by calculationPowder medicineIs 4656.4X 108m3The gas area of the gas reservoir is 1773.788km2Compared with the prior art, the natural gas has the diffusion loss strength of 2.63 multiplied by 108m3/km2。
s4. the natural gas diffusion loss rate is obtained from the natural gas diffusion loss strength to the hydrocarbon source rock hydrocarbon expulsion strength, and the calculation result of the diffusion loss rate of each well area is shown in Table 4.
Table 4 table of calculation results of diffusion and loss rates of each well region
Number of well | Diffusion loss (%) | Number of well | Diffusion loss (%) |
M6 | 11.6 | S90 | 11.5 |
S142 | 18.3 | S149 | 13.2 |
S157 | 11.8 | S155 | 12.9 |
S187 | 13.1 | S159 | 12.8 |
S47 | 13.3 | S161 | 12.9 |
S143 | 14.3 | S163 | 16.8 |
S151 | 12.9 | S180 | 17.4 |
S160 | 14.3 | S183 | 10.5 |
S173 | 10.0 | S184 | 19.0 |
S174 | 14.0 | S185 | 10.2 |
S45 | 13.3 | 26-43 | 16.5 |
Fig. 7 shows a contour map of diffusion loss rates of two-tier gas reservoirs in the surrog gas field threo X block, and most of the diffusion loss rates of natural gas in the surrog gas field threo X block are between 11% and 17%.
s5., evaluating the diffusion and loss degree of the natural gas of the gas reservoir according to the diffusion and loss rate of the natural gas, and evaluating the quality of the storage condition of the gas reservoir.
Through the calculation and analysis, the diffusion and loss rate of the natural gas in the Su X block of the Su Li Ge gas field is low, the diffusion and loss rate of the natural gas is mostly between 11% and 17%, the diffusion and loss degree of the gas reservoir is weak, and the storage condition of the gas reservoir is good.
All the embodiments in the present specification are described in a related manner, and the same and similar parts among the embodiments may be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
The above description is only for the preferred embodiment of the present invention, and is not intended to limit the scope of the present invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention shall fall within the protection scope of the present invention.
Claims (8)
1. A quantitative evaluation method for natural gas diffusion dissipation rate is characterized by comprising the following steps:
s1. calculating the hydrocarbon generation intensity of the hydrocarbon source rock per unit area;
s2, determining a hydrocarbon source rock hydrocarbon expulsion coefficient suitable for the target area, and multiplying the hydrocarbon generation intensity of the hydrocarbon source rock by the hydrocarbon source rock hydrocarbon expulsion coefficient to obtain the hydrocarbon source rock hydrocarbon expulsion intensity;
s3., calculating the natural gas diffusion and dispersion amount according to the natural gas diffusion and dispersion geological model and the Fick's first law to obtain an estimation formula of the natural gas diffusion and dispersion amount of the gas reservoir, and dividing the natural gas diffusion and dispersion amount by the natural gas diffusion area to obtain the natural gas diffusion and dispersion strength;
s4. dividing the natural gas diffusion loss strength by the hydrocarbon source rock hydrocarbon discharge strength to obtain the natural gas diffusion loss rate;
s5., evaluating the diffusion and loss degree of the natural gas of the gas reservoir according to the diffusion and loss rate of the natural gas, and evaluating the quality of the storage condition of the gas reservoir.
2. The quantitative evaluation method for natural gas diffusivity according to claim 1, wherein the mathematical model for hydrocarbon generation strength per unit area of the hydrocarbon source rock in the step (s1) is Qg=H·ρr·K·CDisabled person·Dgas·10-4Where H-source rock thickness (m), ρrDensity of source rock (t/m)3) K-original organic carbon recovery coefficient, CDisabled personContent (%) of residual organic carbon in source rock, DgasYield of original organic matter gaseous hydrocarbons (m)3/t.Toc),QgHydrocarbon Strength (. times.10)8m3/km2)。
3. The quantitative evaluation method for natural gas diffusivity according to claim 2, wherein in the mathematical model of hydrocarbon generation intensity of hydrocarbon source rocks per unit area, the hydrocarbon generation intensities of the two kinds of hydrocarbon source rocks of the rock-carbon dual-system coal rock and the dark mudstone are respectively calculated and superposed to obtain the total hydrocarbon generation intensity; using cumulative oil gas yield chart of type III organic matter to make projection, according to the yield of oil passing through the liquid hydrocarbon generation peak, continuously cracking into gaseous hydrocarbon, and making the oil yield be equal to about 700m according to 1 ton of oil3Converting natural gas into gas, and obtaining the yield of original organic matter gaseous hydrocarbon.
4. The quantitative evaluation method for natural gas diffusivity according to claim 1, wherein the hydrocarbon-expelling factor of the source rock in the step (s2) is a ratio of the hydrocarbon-expelling amount to the hydrocarbon-generating amount of the source rock.
5. The quantitative evaluation method for natural gas diffusivity according to claim 1, wherein the hydrocarbon expulsion coefficient of the source rock of step (s2) is 75%.
6. The quantitative evaluation method for natural gas diffusion loss rate according to claim 1, wherein the estimation formula for natural gas diffusion loss amount of gas reservoir in the step (s3) isWherein: qPowder medicineGas reservoir natural gas diffusion loss (m)3) C-gas concentration (m) in gas reservoir3/m3),C0Surface gas concentration (m)3/m3) D-natural gas diffusion coefficient (m) of rock in overlying strata of gas reservoir3And/s), t is the diffusion time(s) of the natural gas of the gas reservoir, and Z is the diffusion loss distance (m) of the natural gas of the gas reservoir.
7. The quantitative evaluation method for natural gas diffusivity according to claim 1, wherein the step (s3) comprises using the gas reservoir gas-containing area as the natural gas diffusion area, and the area where the well is completed according to the data of the completed well to develop the half of the well spacing and the effective sand thickness distribution chart for comprehensive consideration of the bound gas-containing area boundary; in areas where drilling is not completed, the gas-containing area boundary is defined by the river control area by using the deposition characteristic research result.
8. The quantitative evaluation method for natural gas diffusivity according to claim 1, wherein the step (s3) uses the gas reservoir burial depth as the natural gas diffusivity distance and uses 140Ma as the diffusion time of the natural gas in the gas reservoir.
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CN114544917A (en) * | 2020-11-24 | 2022-05-27 | 中国石油天然气股份有限公司 | Method and device for determining natural gas scattering amount of crude oil cracking gas reservoir |
CN115060620A (en) * | 2022-03-16 | 2022-09-16 | 中国石油大学(华东) | Natural gas reservoir diffusion and dispersion prediction method, storage medium and terminal |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH04219927A (en) * | 1990-12-20 | 1992-08-11 | Hitachi Ltd | Method and device for diffusing impurity |
KR20040019618A (en) * | 2002-08-28 | 2004-03-06 | 오병환 | Apparatus and Method for Measuring Gas Diffusion Rate in Concrete Structure |
CN110644978A (en) * | 2019-08-29 | 2020-01-03 | 中国石油天然气股份有限公司 | Quantitative evaluation method for filling strength and dissipation degree of dense gas reservoir |
-
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Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH04219927A (en) * | 1990-12-20 | 1992-08-11 | Hitachi Ltd | Method and device for diffusing impurity |
KR20040019618A (en) * | 2002-08-28 | 2004-03-06 | 오병환 | Apparatus and Method for Measuring Gas Diffusion Rate in Concrete Structure |
CN110644978A (en) * | 2019-08-29 | 2020-01-03 | 中国石油天然气股份有限公司 | Quantitative evaluation method for filling strength and dissipation degree of dense gas reservoir |
Non-Patent Citations (3)
Title |
---|
VALERIY A等: "Diffusion model of gas hydrate dissociation into ice and gas that takes into account the ice microstructure", 《CHEMICAL ENGINEERING SCIENCE》, vol. 215, 17 December 2019 (2019-12-17), pages 1 - 9, XP086089282, DOI: 10.1016/j.ces.2019.115443 * |
周建文等: "天然气通过盖层扩散的定量评价方法", 《天然气勘探与开发》, vol. 22, no. 03, 30 September 1999 (1999-09-30), pages 13 - 19 * |
钟宁宁等: "论南方海相层系有效供烃能力的主要控制因素", 《地质学报》, vol. 84, no. 02, 28 February 2010 (2010-02-28), pages 149 - 158 * |
Cited By (3)
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CN115060620A (en) * | 2022-03-16 | 2022-09-16 | 中国石油大学(华东) | Natural gas reservoir diffusion and dispersion prediction method, storage medium and terminal |
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