This application claims priority to Chinese patent application No. CN 202311277481.6, filed to China National Intellectual Property Administration (CNIPA) on Sep. 28, 2023, which is herein incorporated by reference in its entirety.
The disclosure relates to the technical field of shale gas field development, and particularly to a method for combined characterization of a pore structure.
Shale gas is a typical type of unconventional natural gas. A matrix pore network in shale is composed of pores ranging from nanometer to micrometer diameters. Within a shale gas system, these pores, which are accompanied by natural fractures, form a seepage network that allows gas to flow from the shale to induced fractures during a development process. Currently, advanced research methods such as nano computed tomography focused ion beam scanning electron microscopy (nano-CT FIB-SEM), gas adsorption, high-pressure mercury intrusion porosimetry (MIP), and nuclear magnetic resonance are widely used to conduct extensive microscopic observations and analyses of the shale pore structure. Micropores refer to pores smaller than 2 nanometers (nm), mesopores refer to pores between 2 nm and 50 nm, and macropores refer to pores larger than 50 nm. Carbon dioxide adsorption experiments can characterize pores smaller than 3 nm, nitrogen adsorption experiments can characterize pores ranging from 1.6 nm to 200 nm, and high-pressure MIP experiments can characterize pores from 20 nm to 100,000 nm. Previous studies on the carbon dioxide adsorption experiments only took data smaller than 2 nm to represent the micropores; for the nitrogen adsorption experiments, only data between 2 nm and 50 nm were taken to represent the mesopores; for the high-pressure MIP experiments, only data larger than 50 nm were taken to represent the macropores. However, for overlapping parts of pore diameter ranges represented by the three methods, they were not processed properly and were simply deleted, which affected the accuracy of the combined characterization results.
Addressing the issue that the current combined characterization method for pore structure, which simply deletes the overlapping parts in the characterization ranges of micropores, mesopores, and macropores, leads to large errors in the combined characterization results, the disclosure provides a method for combined characterization of pore structures.
The method for combined characterization of pore structures includes steps as follows.
S1, collecting actual measurement data of pore diameter ranges characterized by a carbon dioxide (CO2) adsorption, a nitrogen (N2) adsorption, and a mercury intrusion porosimetry; wherein the actual measurement data comprises a pore diameter and a pore volume;
S2, plotting pore characterization curves with the pore diameter as a horizontal coordinate and the pore volume as a vertical coordinate based on the actual measurement data to obtain a CO2 characterization curve, a N2 characterization curve, and a mercury intrusion porosimetry characterization curve, respectively.
S3, performing data processing on an overlapping range of the pore diameter between the CO2 characterization curve and the N2 characterization curve, wherein the pore diameter in the overlapping range is in a range of 1.6 nm-3 nm.
The S3 specifically includes:
S4, performing data processing on an overlapping range of the pore diameter between the N2 characterization curve and the mercury intrusion porosimetry characterization curve, wherein the overlapping range of the pore diameter between the N2 characterization curve and the mercury intrusion porosimetry characterization curve is in a range of 20 nm-200 nm, processing steps are the same in the steps S31 to S33, thereby to obtain a characterization curve of the overlapping range of the pore diameter between the N2 characterization curve and the mercury intrusion porosimetry characterization curve.
S5, splicing and combining the characterization curve of the overlapping range of the pore diameter between the CO2 characterization curve and the N2 characterization curve, the characterization curve of the overlapping range of the pore diameter between the N2 characterization curve and the mercury intrusion porosimetry characterization curve, with the CO2 characterization curve, the N2 characterization curve, and the mercury intrusion porosimetry characterization curve, thereby obtaining a combined characterization curve of the pore structure based on the CO2 adsorption, the N2 adsorption, and the mercury intrusion porosimetry.
In this situation, the combined characterization curve of the pore structure based on the adsorption results of the CO2 adsorption, the N2 adsorption, and the high-pressure mercury intrusion porosimetry is used to characterize the pore structure of shale to detect and determine a gas content in the shale, and then extract a natural gas in the shale.
Compared to the related art, the beneficial effects of the disclosure are as follows.
(1) In the related art, the overlapping ranges in the characterization pore diameters of the CO2 adsorption, the nitrogen N2 adsorption, and the mercury intrusion porosimetry are not processed. Instead, the overlapping ranges among them are simply deleted, which affects the accuracy of the combined characterization results. The method for data processing of the disclosure fits the overlapping ranges of the CO2 characterization curve and the N2 characterization curve from two curves into one curve, and also fits the overlapping ranges of the N2 characterization curve and the high-pressure mercury intrusion porosimetry characterization curve into one curve. By employing the method for data processing of the disclosure, the overlapping ranges in the characterization pore diameter of the CO2 adsorption, the nitrogen N2 adsorption, and the mercury intrusion porosimetry can be processed, thereby enhancing accuracy.
(2) The disclosure utilizes mathematical methods to characterize the pore structure of the shale, which is used for predicting the production of the shale gas fields, enhancing the understanding of developed blocks, and allowing for timely adjustments to the overall development level and development effectiveness of the gas field based on predictions.
The other advantages, objectives, and features of the disclosure will be partially demonstrated through the following description, and partially understood by those skilled in the art through research and practice of the disclosure.
An illustrated embodiment of the disclosure is described below in conjunction with the attached drawings. It should be understood that the illustrated embodiment described herein is only for illustrating and explaining the disclosure, and are not intended to limit the disclosure.
In an embodiment of the disclosure, firstly, actual measurement data representing pores diameter range of a CO2 adsorption, a N2 adsorption, and a high-pressure mercury intrusion porosimetry are collected, and the pores diameter range of the CO2 adsorption, the N2 adsorption, and the high-pressure mercury intrusion porosimetry are key data. The pore diameter range characterized by the CO2 adsorption is less than 3 nm, and the pore diameter range characterized by the N2 adsorption is 1.6-200 nm. The pore diameter range characterized by the high-pressure mercury intrusion porosimetry is 20-100,000 nm. It can be observed that the overlapping range of the pore diameters between the CO2 adsorption and the N2 adsorption is 1.6 nm to 3 nm, and the overlapping range of the pore diameters between the N2 adsorption and high-pressure mercury intrusion porosimetry is 20 nm to 200 nm. The pore volumes measured by the CO2 adsorption, the N2 adsorption, and the high-pressure mercury intrusion porosimetry correspond to the pore diameters in a one-to-one manner, with the pore diameters as a horizontal coordinate and the pore volume as a vertical coordinate to plot characterization curves, thereby obtaining a CO2 characterization curve, a N2 characterization curve, and a high-pressure mercury intrusion porosimetry characterization curve, respectively.
A data processing is performed on an overlapping range of the pore diameters between the CO2 characterization curve in
The overlapping range of the pore diameters of 1.6 nm to 3 nm are selected to calculate an average pore volume for CO2 and N2 pore volumes corresponding to the same pore diameter, followed by forming a discrete point list of data points [xi, yi] for the overlapping range of the pore diameter data, where xi represents the pore diameter, yi represents the average value of the pore volume, and i represents a number of the data points in the overlapping range, with i taking a value of 8. The specific data of the discrete point list [xi, yi] is shown in Table 1.
(1) An equation passing through a first point (x1, y1)=(1.6, 0.00745) is let be defined as follows:
y=y1 (equation 1),
(2) An equation passing through a second point (x2, y2)=(1.8, 0.00736) is let be defined as follows:
y=y1+a0(x−x1) (equation 2),
(3) An equation passing through a third point (x3, y3)=(2.0, 0.00920) is let be defined as follows:
y=y1+a0(x−x1)+a1(x−x1)(x−x2) (equation 3),
(4) An equation passing through a fourth point (x4, y4)=(2.2, 0.02010) is let be defined as follows:
y=y1+a0(x−x1)+a1(x−x1)(x−x2)+a2(x−x1)(x−x2)(x−x3) (equation 4),
(5) An equation passing through a fifth point (x5, y5)=(2.4, 0.02366) is let be defined as follows:
y=y1+a0(x−x1)+a1(x−x1)(x−x2)+a2(x−xi)(x−x2)(x−x3)+a3(x−x1)(x−x2)(x−x3)(x−x4) (equation 5),
(6) An equation passing through a sixth point (x6, y6)=(2.6, 0.02801) is let be defined as follows:
y=y1+a0(x−x1)+a1(x−x1)(x−x2)+a2(x−x1)(x−x2)(x−x3)+a3(x−x1)(x−x2)(x−x3)(x−x4)+a4(x−x1)(x−x2)(x−x3)(x−x4)(x−x5) (equation 6),
(7) An equation passing through a seventh point (x7, y7)=(2.8, 0.03200) is let be defined as follows:
y=y1+a0(x−x1)+a1(x−x1)(x−x2)+a2(x−x1)(x−x2)(x−x3)+a3(x−x1)(x−x2)(x−x3)(x−x4)+a4(x−x1)(x−x2)(x−x3)(x−x4)(x−x5)+a5(x−x1)(x−x2)(x−x3)(x−x4)(x−x5)(x−x6) (equation 7),
(8) An equation passing through a eighth point (x8, y8)=(3.0, 0.03823) is let be defined as follows:
y=y1+a0(x−x)+a(x−x1)(x−x2)+a2(x−x1)(x−x2)(x−x3)+a3(x−x1)(x−x2)(x−x3)(x−x4)+a4(x−x1)(x−x2)(x−x3)(x−x4)(x−x5)+a5(x−x1)(x−x2)(x−x3)(x−x4)(x−x5)(x−x6)+a6(x−x1)(x−x2)(x−x3)(x−x4)(x−x5)(x−x6)(x−x7) (equation 8),
A relationship equation of the final function yi=ƒ(x) obtained by fitting the overlapping range of CO2 adsorption and N2 adsorption is as follows:
y′=0.00745−0.00045(x−1.6)+0.24125(x−1.6)(x−1.8)−0.93708(x−1.6)(x−1.8)(x−2.0)+2.10089(x−1.6)(x−1.8)(x−2.0)(x−2.2)−3.26986(x−1.6)(x−1.8)(x−2.0)(x−2.2)(x−2.4)+3.87261(x−1.6)(x−1.8)(x−2.0)(x−2.2)(x−2.4)(x−2.6)−3.65096(x−1.6)(x−1.8)(x−2.0)(x−2.2)(x−2.4)(x−2.6)(x−2.8) (equation 9).
Each pore diameter value is substituted in the overlapping range of 1.6 nm-3 nm between the CO2 adsorption and the N2 adsorption into the equation 9 to calculate the final pore volume of the overlapping range of the CO2 adsorption and the N2 adsorption, as shown in Table 2.
The characterization curve of the overlapping range between the CO2 absorption and the N2 absorption is plotted based on the data in Table 2, as shown in
The same data processing is used to process the overlapping range of the pore diameters between the N2 characterization curve and the high-pressure mercury intrusion porosimetry characterization curve.
The overlapping range of the pore diameters of 20 nm to 200 nm are selected to calculate an average pore volume for the N2 adsorption and the high-pressure mercury intrusion porosimetry corresponding to the same pore diameter, followed by forming a discrete point list of data points [ui, vi] for the overlapping range of the pore diameter data, where ui represents the pore diameter, vi represents the average value of the pore volume, and the specific data of the discrete point list [ui, vi] is shown in Table 3.
(1) An equation passing through a first point (ui,vi)=(20, 0.42653) is let be defined as follows:
v=v1 (equation 10),
(2) An equation passing through a second point (u2,v2)=(40, 0.48291) is let be defined as follows:
v=v1+b0(u−u1) (equation 11),
(3) An equation passing through a third point (u3,v3)=(60, 0.51302) is let be defined as follows:
v=v1+b0(u−u1)+b1(u−u1)(u−u2) (equation 12),
(4) An equation passing through a fourth point (u4,v4)=(80, 0.54216) is let be defined as follows:
v=vi+b0(u−u1)+b1(u−u1)(u−u2)+b2(u−u1)(u−u2)(u−u3) (equation 13),
(5) An equation passing through a fifth point (u5,v5)=(100, 0.62865) is let be defined as follows:
v=v1+b0(u−u1)+b1(u−u1)(u−u2)+b2(u−u1)(u−u2)(u−u3)+b3(u−u1)(u−u2)(u−u3)(u−u4) (equation 14),
(6) An equation passing through a sixth point (u6,v6)=(120, 0.69838) is let be defined as follows:
v=v+b0(u−u1)+b1(u−u1)(u−u2)+b2(u−u1)(u−u2)(u−u3)+b3(u−u1)(u−u2)(u−u3)(u−u4)+b4(u−u1)(u−u2)(u−u3)(u−u4)(u−u5) (equation 15),
(7) An equation passing through a seventh point (u7,v7)=(140, 0.76387) is let be defined as follows:
v=v1+b0(u−u1)+b1(u−u1)(u−u2)+b2(u−u1)(u−u2)(u−u3)+b3(u−u1)(u−u2)(u−u3)(u−u4)+b4(u−u1)(u−u2)(u−u3)(u−u4)(u−u5)+b5(u−u1)(u−u2)(u−u3)(u−u4)(u−u5)(u−u6) (equation 16),
(8) An equation passing through a eighth point (u8,v8)=(160, 0.81548) is let be defined as follows:
v=v1+b0(u−u1)+b1(u−u1)(u−u2)+b2(u−u1)(u−u2)(u−u3)+b3(u−u1)(u−u2)(u−u3)(u−u4)+b4(u−u1)(u−u2)(u−u3)(u−u4)(u−u5)+b5(u−u1)(u−u2)(u−u3)(u−u4)(u−u5)(u−u6)+b6(u−u1)(u−u2)(u−u3)(u−u4)(u−u5)(u−u6)(u−u7) (equation 17),
(9) An equation passing through a ninth point (u9,v9)=(180, 0.88295) is let be defined as follows:
v=v1+b0(u−u1)+b1(u−u1)(u−u2)+b2(u−u1)(u−u2)(u−u3)+b3(u−u1)(u−u2)(u−u3)(u−u4)+b4(u−u1)(u−u2)(u−u3)(u−u4)(u−u5)+b5(u−u1)(u−u2)(u−u3)(u−u4)(u−u5)(u−u6)+b6(u−u1)(u−u2)(u−u3)(u−u4)(u−u5)(u−u6)(u−u7)+b7(u−u1)(u−u2)(u−u3)(u−u4)(u−u5)(u−u6)(u−u7)(u−u8) (equation 18),
(10) An equation passing through a tenth point (u10,v10)=(200, 0.90359) is let be defined as follows:
v=v1+b0(u−u1)+b1(u−u1)(u−u2)+b2(u−u1)(u−u2)(u−u3)+b3(u−u1)(u−u2)(u−u3)(u−u4)+b4(u−u1)(u−u2)(u−u3)(u−u4)(u−u5)+8.344401×10−12(u−u1)(u−u2)(u−u3)(u−u4)(u−u5)(u−u6)+b6(u−u1)(u−u2)(u−u3)(u−u4)(u−u5)(u−u6)(u−u7)+b7(u−u1)(u−u2)(u−u3)(u−u4)(u−u5)(u−u6)(u−u7)(u−u5)+b5(u−u1)(u−u2)(u−u3)(u−u4)(u−u5)(u−u6)(u−u7)(u−u8)(u−u9) (equation 19),
A relationship equation of the final function yi′=ƒ(x) obtained by fitting the overlapping range of the N2 adsorption and the high-pressure mercury intrusion porosimetry is as follows:
v′=0.42653+0.00282(u−20)−3.28375×10−5(u−20)(u−40)+5.27083×10−7(u−20)(u−40)(u−60)+8.59895×10−9(u−20)(u−40)(u−60)(u−80)−4.30859×10−12(u−20)(u−40)(u−60)(u−80)(u−100)+8.34440×10−12(u−20)(u−40)(u−60)(u−80)(u−100)(u−120)−1.10423×10−13(u−20)(u−40)(u−60)(u−80)(u−100)(u−120)(u−140)+1.17279×10−15(u−20)(u−40)(u−60)(u−80)(u−100)(u−120)(u−140)(u−160)−1.11543×10−17(u−20)(u−40)(u−60)(u−80)(u−100)(u−120)(u−140)(u−160)(u−180) (equation 20).
Each pore diameter value is substituted in the overlapping range of 20 nm-200 nm between the N2 adsorption and the high-pressure mercury intrusion porosimetry into the equation 20 to calculate the final pore volume of the overlapping range of the N2 adsorption and the high-pressure mercury intrusion porosimetry, as shown in Table 4.
The characterization curve of the overlapping range between the N2 absorption and the high-pressure mercury intrusion porosimetry is plotted based on the data in Table 4, as shown in
Finally, the characterization curves of the overlapping range of the pore diameters between the CO2 characterization curve and the N2 characterization curve as shown in
The above description is merely a preferred embodiment of the disclosure, and does not in any way limit the disclosure. Although the disclosure has been disclosed in detail through the preferred embodiment, it is not intended to limit the disclosure. Those skilled in the art, without departing from the scope of the technical solution of the disclosure, can make minor modifications or amendments that are equivalent to the equivalent embodiments based on the technical content disclosed above. Any simple modifications, equivalent changes, and amendments made to the above embodiment in accordance with the technical essence of the disclosure still fall within the scope of the technical solution of the disclosure.
Number | Date | Country | Kind |
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202311277481.6 | Sep 2023 | CN | national |
Number | Name | Date | Kind |
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20230096906 | Zhang | Mar 2023 | A1 |
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