High-precision electrical method oil-gas-water quantitative identification method

Abstract

The invention relates to the technical field of data acquisition, in particular to a high-precision electrical oil-gas-water quantitative identification method, which comprises the following steps of: burying an electrode and acquiring resistivity data; obtaining difference parameters according to the resistivity change difference of the electrodes with different electrode distances at the same measurement point; resistivity trend parameters are obtained through difference parameters of resistivity measured at the same moment by the same sequence of electrodes in different measurement areas, and standard trend factors corresponding to each resistivity datum are obtained in combination with the distance; obtaining a noise parameter according to the difference between the resistivity trend parameter and the standard trend factor; acquiring fluctuation parameters according to the change conditions of the resistivity of the electrode pairs with the same polar distance in each measurement area at different moments; acquiring a resistivity data noise coefficient according to the difference parameter, the noise parameter and the resistivity fluctuation parameter; and selecting a noise coefficient threshold to judge the data abnormal degree and quantitatively identifying oil, gas and water. The noise degree of the resistivity data is reduced, and the accuracy of oil-gas-water quantitative recognition is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of data acquisition, and particularly to a high-precision electrophysical method for quantitatively identifying oil, gas and water. Background Art

[0002] Electrical methods can identify the distribution of oil, gas and water by measuring the resistivity and conductivity of different underground media, thus providing important geological information for oil and gas exploration and water resource management. By using electrical methods, the location of groundwater and the thickness of aquifers can be quickly and accurately determined, which helps to effectively develop and utilize underground water resources. At the same time, electrical methods can also help exploration personnel find potential oil and gas reservoirs, providing important geological exploration basis for oil and gas exploration. Therefore, using electrical methods to identify oil, gas and water can provide important technical support for resource exploration and management.

[0003] Traditional electrical methods for identifying oil, gas and water mainly rely on the resistivity differences of underground media for differentiation. When traditional electrical methods are used to identify oil, gas and water, they may be affected by some noises, which may come from factors such as groundwater flow, geological structure, and chemical composition of groundwater. These noises may increase the misjudgment rate of electrical method data, making the identified locations and properties of oil, gas and water inconsistent with the actual situation, and affecting the decision-making of resource exploration and development. Summary of the Invention

[0004] The present invention provides a high-precision electrophysical method for quantitatively identifying oil, gas and water to solve the existing problems:

[0005] The following technical solutions are adopted for a high-precision electrophysical method for quantitatively identifying oil, gas and water according to the present invention:

[0006] An embodiment of the present invention provides a high-precision electrophysical method for quantitatively identifying oil, gas and water, and the method includes the following steps:

[0007] Bury electrodes; collect resistivity data;

[0008] Obtain difference parameters according to the resistivity change differences of electrodes with different pole pitches at the same measurement point; obtain resistivity trend parameters through the difference parameters of the resistivity measured by the same sequence of electrodes in different measurement areas at the same moment; obtain the standard trend factor corresponding to each resistivity data according to the corresponding trend parameters and distances of the resistivity measured by the same sequence of electrodes in different measurement areas at the same moment; obtain the noise parameter of each resistivity data according to the difference between the resistivity trend parameter and the standard trend factor corresponding to each resistivity data;

[0009] Obtain resistivity fluctuation parameters according to the change of resistivity of electrodes with the same pole pitch at different moments in each measurement area; obtain the noise coefficient of each resistivity data according to the difference parameter, noise parameter and resistivity fluctuation parameter of each resistivity data;

[0010] Judge whether the data is abnormal according to the noise coefficient and the noise coefficient threshold; identify the oil-gas-water quantification based on the normal resistivity data.

[0011] Further, the specific method for obtaining the standard trend factor corresponding to each resistivity data according to the corresponding trend parameters and distances of the resistivity measured by the same sequence of electrodes at the same moment in different measurement regions includes:

[0012]

[0013] In the formula, Stt q,n,r represents the resistivity standard trend factor of the nth pair of electrodes at the rth moment in the qth measurement region, q represents the measurement region sequence, Trp J,n,r represents the resistivity trend parameter of the nth pair of electrodes at the rth moment in the Jth measurement region, S represents the number of measurement regions, and to avoid the denominator being 0, when I = q during the cumulative operation it is recorded as 0, and when J = q it is recorded as 0.

[0014] Further, the specific method for obtaining the difference parameter according to the resistivity change difference of the electrodes with different pole pitches at the same measurement point includes:

[0015]

[0016] In the formula, Eld q,n,r represents the resistivity difference parameter of the nth pair of electrodes at the rth moment in the qth measurement region, e q,n,r represents the resistivity of the nth pair of electrodes at the rth moment in the qth measurement region, e q,n-1,r represents the resistivity of the nth pair of electrodes at the rth moment in the qth measurement region, e q,2,r represents the resistivity of the 2nd pair of electrodes at the rth moment in the qth measurement region, e q,1,r represents the resistivity of the 1st pair of electrodes at the rth moment in the qth measurement region, e q,i,r represents the resistivity of the ith pair of electrodes at the rth moment in the qth measurement region, e q,i-1,r represents the resistivity of the (i - 1)th pair of electrodes at the rth moment in the qth measurement region, N represents the number of electrode pairs in each measurement region, and n represents the sequence of electrode pairs in each measurement region.

[0017] Further, the specific method for obtaining the resistivity fluctuation parameter according to the change of the resistivity of the electrodes with the same pole pitch at different moments in each measurement region includes:

[0018]

[0019] In the formula, Flp q,n,rDenote the resistivity fluctuation parameter of the nth pair of electrodes at the rth moment in the qth measurement area, e q,n,m Denote the resistivity of the nth pair of electrodes at the mth moment in the qth measurement area, Denote the mean value of the resistivity of the nth pair of electrodes at each moment in the qth measurement area, T represents the data acquisition duration, and t represents the data acquisition time interval.

[0020] Furthermore, the method for obtaining the resistivity trend parameter by using the difference parameter of the resistivity measured at the same moment by the same sequence of electrode pairs in different measurement areas specifically includes:

[0021]

[0022] In the formula, Trp q,n,r Denote the resistivity trend parameter of the nth pair of electrodes at the rth moment in the qth measurement area, Eld q,n,r Denote the resistivity difference parameter of the nth pair of electrodes at the rth moment in the qth measurement area, Eld j,n,r Denote the resistivity difference parameter of the nth pair of electrodes at the rth moment in the jth measurement area, S represents the number of measurement areas.

[0023] Furthermore, the method for obtaining the noise parameter of each resistivity data according to the difference between the resistivity trend parameter corresponding to each resistivity data and the standard trend factor specifically includes:

[0024] Nop q,n,r =|Trp q,n,r -Stt q,n,r |

[0025] In the formula, Nop q,n,r Denote the resistivity noise parameter of the nth pair of electrodes at the rth moment in the qth measurement area, Stt q,n,r Denote the resistivity standard trend factor of the nth pair of electrodes at the rth moment in the qth measurement area, Trp q,n,r Denote the resistivity trend parameter of the nth pair of electrodes at the rth moment in the qth measurement area.

[0026] Furthermore, the method for obtaining the noise coefficient of each resistivity data according to the difference parameter, noise parameter and resistivity fluctuation parameter of each resistivity data specifically includes:

[0027] Fig q,n,r =(Eld q,n,r +0.01)×(Nop q,n,r +0.01)×(Flp q,n,r +0.01)

[0028] In the formula, Fig q,n,rDenote the resistivity noise coefficient of the nth pair of electrodes at the rth moment in the qth measurement area, Eld q,n,r Denote the resistivity difference parameter of the nth pair of electrodes at the rth moment in the qth measurement area, Nop q,n,r Denote the resistivity noise parameter of the nth pair of electrodes at the rth moment in the qth measurement area, Flp q,n,r Denote the resistivity fluctuation parameter of the nth pair of electrodes at the rth moment in the qth measurement area.

[0029] Furthermore, the specific method for the buried electrodes includes:

[0030] S measurement points in the working area are arranged in a straight line in sequence, the distance between adjacent measurement points is z meters, N pairs of electrodes are arranged at each measurement point, the pole pitch of the first pair of electrodes arranged at the measurement point is L meters, and the pole pitches of the other electrodes increase by L in sequence, that is, the pole pitch of the Nth pair of electrodes arranged at the measurement point is N*L meters, and all electrodes are connected to the resistivity instrument.

[0031] Furthermore, the specific method for judging whether the data is abnormal according to the noise coefficient and the noise coefficient threshold includes:

[0032] Collect resistivity data with electrodes and calculate the noise coefficient of each resistivity data. Compare the size of the noise coefficient and the noise coefficient threshold. If the noise coefficient corresponding to the resistivity data is greater than the noise coefficient threshold, then the resistivity data is abnormal data and discard the resistivity data. If the noise coefficient corresponding to the resistivity data is less than the noise coefficient threshold, then the resistivity data is normal data and retain the resistivity data.

[0033] Furthermore, the specific method for identifying the quantitative oil, gas and water according to the normal resistivity data includes:

[0034] Establish a geological model according to the obtained normal resistivity data, then perform inversion processing on the resistivity data, infer the distribution of underground oil, gas and water through mathematical methods, and finally verify and correct the results according to the actual situation, including the comparative analysis of geological exploration data and the actual situation of underground exploration, etc., to complete the quantitative identification of oil, gas and water.

[0035] The beneficial effects of the technical solution of the present invention are: By adjusting the pole pitch of the electrodes, the present invention compares the resistivity changes at the same depth in different acquisition areas, combines the distance to obtain the geological distribution characteristics, then compares the resistivity at different depths at the same moment in the same acquisition area to obtain the resistivity change characteristics at different depths, combines the resistivity change situation at the same depth and different acquisition moments in the same acquisition area to judge the influence of water flow on the resistivity, comprehensively judge the noise level of the data, select the threshold and screen out the relatively abnormal resistivity data, making the measurement result more accurate and making the quantitative identification of oil, gas and water by electrical method more accurate. Description of the Drawings

[0036] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0037] Figure 1 It is a step flowchart of a high-precision electro-chemical method for quantitatively identifying oil, gas and water of the present invention. Detailed implementation manners

[0038] In order to further elaborate on the technical means and effects adopted by the present invention to achieve the intended invention purpose, the following combines the drawings and preferred embodiments to detail the specific implementation manners, structures, features and effects of a high-precision electro-chemical method for quantitatively identifying oil, gas and water proposed according to the present invention. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. In addition, the specific features, structures or characteristics in one or more embodiments can be combined in any suitable form.

[0039] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the technical field to which the present invention belongs.

[0040] The following specifically describes the specific solution of a high-precision electro-chemical method for quantitatively identifying oil, gas and water provided by the present invention with reference to the drawings.

[0041] Please refer to Figure 1 , which shows a step flowchart of a high-precision electro-chemical method for quantitatively identifying oil, gas and water provided by an embodiment of the present invention. The method includes the following steps:

[0042] Step S001: Bury electrodes; collect resistivity data.

[0043] It should be noted that in traditional electrical method measurements, different electrode spacings can be used to meet the identification requirements for different depth ranges. The electrode spacing refers to the distance between electrodes, and its arrangement can be adjusted according to needs. When measuring a shallower depth range, a shorter electrode spacing can be adopted to increase the measurement resolution and sensitivity. When measuring a deeper depth range, a longer electrode spacing can be used to increase the measurement depth range and penetration ability. In the present invention, it is necessary to judge the noise level of resistivity data measured at different depths by different electrodes in different regions according to the resistivity changes at different depths in combination with the resistivity changes at the same depth but different resistivities. Therefore, multiple pairs of electrodes need to be buried on the ground. In the present invention, it is necessary to set the electrode spacing L between the transmitting electrode and the receiving electrode to 10 meters, the measurement point spacing z to 200 meters, the data acquisition duration T to 24 hours, the data acquisition time interval t to 0.5 hours, the number of measurement points S to 50, and the number of electrode pairs arranged at the same measurement point N to 5 pairs.

[0044] Specifically, the specific process of burying the electrodes is as follows: The S measurement points in the working area are arranged in a straight line in sequence, with a spacing of z meters between adjacent measurement points. N pairs of electrodes are arranged at each measurement point. The electrode spacing of the first pair of electrodes arranged at the measurement point is L meters, and the electrode spacing of the other electrodes increases by L in sequence. That is, the electrode spacing of the Nth pair of electrodes arranged at the measurement point is N * L meters. All the electrodes are connected to the resistivity instrument.

[0045] Furthermore, the process of collecting resistivity data is as follows: The resistivity instrument simultaneously collects the resistivity corresponding to each pair of electrodes in the working area at a preset time interval of t hours, and the total data collection duration is T hours.

[0046] It should be noted that in this embodiment, the number of measurement points S, the spacing z between adjacent measurement points, the number of electrodes arranged at each measurement point N, the electrode spacing L, the data collection duration T, the data collection time interval t, and the number of measurement points S are not specifically limited. The above parameters depend on the specific implementation situation.

[0047] Step S002: Obtain the difference parameter according to the resistivity change difference of electrodes with different electrode spacings at the same measurement point; obtain the resistivity trend parameter through the difference parameter of the resistivity measured at the same moment by the same sequence of electrode pairs in different measurement regions; obtain the standard trend factor corresponding to each resistivity data according to the trend parameter and distance of the resistivity measured by the same sequence of electrode pairs at the same moment in different measurement regions; obtain the noise parameter of each resistivity data according to the difference between the resistivity trend parameter and the standard trend factor corresponding to each resistivity data.

[0048] It should be noted that arranging electrodes with different pole distances at the same measurement point can detect oil, gas, and water layers at different depths underground. The greater the pole distance, the deeper the detected depth, and the higher the noise level of the resistivity data measured at greater depths. The heterogeneous geological structure will disrupt the resistivity noise distribution of different pole distances. Therefore, in this step, the noise level is judged by comparing the resistivity changes between different pole distances.

[0049] Specifically, the specific formula for obtaining the difference parameter based on the resistivity change difference of electrodes with different pole distances at the same measurement point is as follows:

[0050]

[0051] In the formula, Eld q,n,r represents the resistivity difference parameter of the nth pair of electrodes at the rth moment in the qth measurement area, e q,n,r represents the resistivity of the nth pair of electrodes at the rth moment in the qth measurement area, e q,n-1,r represents the resistivity of the nth pair of electrodes at the rth moment in the qth measurement area, e q,2,r represents the resistivity of the 2nd pair of electrodes at the rth moment in the qth measurement area, e q,1,r represents the resistivity of the 1st pair of electrodes at the rth moment in the qth measurement area, e q,i,r represents the resistivity of the ith pair of electrodes at the rth moment in the qth measurement area, e q,i-1,r represents the resistivity of the (i - 1)th pair of electrodes at the rth moment in the qth measurement area. N represents the number of electrode pairs in each measurement area, and n represents the sequence of electrode pairs in each measurement area.

[0052] It should be noted that according to the above method, the difference parameter corresponding to each resistivity measured by each pair of electrodes can be obtained. The larger the difference parameter, the greater the change in the resistivity measured by the corresponding sequence of electrode pairs in the corresponding measurement area compared to the previous sequence, the greater the probability that the resistivity data is affected by the heterogeneous geological structure, and the greater the error probability of the resistivity data.

[0053] Furthermore, it should be noted that if the difference parameters of the resistivity measured at the same moment by the same sequence of electrode pairs in different measurement areas are relatively large, it may be because the structures of different strata are different but the structures of the same strata are relatively similar. The influence of this difference parameter on the quantitative measurement of oil, gas, and water by electrical methods is small. Therefore, in this step, the similarity of the difference parameters corresponding to the resistivity measured at the same moment by the same sequence of electrode pairs in different measurement areas needs to be compared. The higher the similarity, the more similar the strata structures at the same depth in these measurement areas, and the smaller the probability that the resistivity measured at the same moment by the same sequence of electrode pairs in these measurement areas is noise.

[0054] Specifically, the specific formula for obtaining the resistivity trend parameter by using the difference parameter of the resistivity measured by the same sequence of electrodes in different measurement regions at the same moment is as follows:

[0055]

[0056] In the formula, Trp q,n,r represents the resistivity trend parameter of the nth pair of electrodes at the rth moment in the qth measurement region, Eld q,n,r represents the resistivity difference parameter of the nth pair of electrodes at the rth moment in the qth measurement region, Eld j,n,r represents the resistivity difference parameter of the nth pair of electrodes at the rth moment in the jth measurement region, and S represents the number of measurement regions.

[0057] It should be noted that according to the above method, the trend parameter corresponding to each resistivity measured by each pair of electrodes can be obtained. The closer the trend parameters measured by the same-pole-pitch electrode pairs in different regions at the same moment are, the more similar the formation structures at the same depth in these regions are. And the greater the probability that the measurement regions closer to each other have the same formation structure. If the trend parameters of two pairs of electrodes are quite different even though they are close to each other at the same moment, the probability that the formation structures at the same depth in the measurement regions where the two pairs of electrodes are located are the same is small, and the probability that the resistivity measured by the electrodes is noise data is large.

[0058] Specifically, the specific formula for obtaining the standard trend factor corresponding to each resistivity data according to the trend parameter and distance of the resistivity measured by the same sequence of electrodes in different measurement regions at the same moment is as follows:

[0059]

[0060] In the formula, Stt q,n,r represents the resistivity standard trend factor of the nth pair of electrodes at the rth moment in the qth measurement region, q represents the measurement region sequence, Trp J,n,r represents the resistivity trend parameter of the nth pair of electrodes at the rth moment in the Jth measurement region, S represents the number of measurement regions. To avoid the denominator being 0, when I = q during the cumulative operation process it is recorded as 0, and when J = q it is recorded as 0.

[0061] It should be noted that according to the above method, the standard trend factor corresponding to each resistivity data can be obtained. The closer the resistivity trend parameter corresponding to the resistivity measured by a certain pair of electrodes is to the resistivity standard trend factor, the more similar the formation structure at the corresponding depth in the region where the resistivity is located is, and the smaller the probability that the resistivity data is noise.

[0062] Specifically, the specific formula for obtaining the noise parameter of each resistivity data according to the difference between the resistivity trend parameter and the standard trend factor corresponding to each resistivity data is as follows:

[0063] Nop q,n,r = |Trp q,n,r - Stt q,n,r |

[0064] Wherein, Nop q,n,r represents the resistivity noise parameter of the nth pair of electrodes at the rth moment in the qth measurement area, and Stt q,n,r represents the resistivity standard trend factor of the nth pair of electrodes at the rth moment in the qth measurement area, and Trp q,n,r represents the resistivity trend parameter of the nth pair of electrodes at the rth moment in the qth measurement area.

[0065] It should be noted that according to the above method, the noise parameter corresponding to each resistivity data can be obtained. The closer the resistivity corresponding to the resistivity trend parameter and the resistivity standard trend factor is, the smaller the noise parameter is, indicating that the corresponding depth of the resistivity has a similar formation structure, and the probability that the resistivity data is noise is smaller.

[0066] Step S003: Obtain the resistivity fluctuation parameter according to the change of resistivity of the electrode pairs with the same pole pitch at different moments in each measurement area; obtain the noise coefficient of each resistivity data according to the difference parameter, noise parameter and resistivity fluctuation parameter of each resistivity data.

[0067] It should be noted that groundwater flow will cause the resistivity to change, and there may be a moment when the resistivity data during the water flow process is more in line with the data characteristics and trends of normal data, and the resistivity data at this moment may be misjudged as normal data, affecting the measurement result. Therefore, this step needs to analyze the change of resistivity of the electrode pairs with the same pole pitch at different moments in each measurement area to obtain the resistivity fluctuation parameter.

[0068] Specifically, the specific formula for obtaining the resistivity fluctuation parameter according to the change of resistivity of the electrode pairs with the same pole pitch at different moments in each measurement area is as follows:

[0069]

[0070] Wherein, Flp q,n,r represents the resistivity fluctuation parameter of the nth pair of electrodes at the rth moment in the qth measurement area, and e q,n,m represents the resistivity of the nth pair of electrodes at the mth moment in the qth measurement area, represents the mean value of the resistivity of the nth pair of electrodes at each moment in the qth measurement area, T represents the data acquisition duration, and t represents the data acquisition time interval.

[0071] It should be noted that the resistivity fluctuation parameters of each pair of electrodes at each moment in each measurement area can be obtained through the above method. The resistivity of the same electrode at different times may fluctuate because electromagnetic interference from the surrounding environment, such as power equipment and communication equipment, will affect the accurate measurement of resistivity. However, the fluctuation situation is generally relatively stable. Water flow will change the underlying structure, resulting in a large fluctuation in the measured resistivity at different times. The greater the resistivity fluctuation parameter, the greater the probability that the data is noise.

[0072] It should be further noted that the above process can obtain the difference parameter, noise parameter, and resistivity fluctuation parameter of each measured resistivity data. In this step, the measured resistivity data is comprehensively judged by combining the difference parameter, noise parameter, and resistivity fluctuation parameter to obtain the resistivity noise coefficient.

[0073] Specifically, the specific formula for obtaining the noise coefficient of each resistivity data according to the difference parameter, noise parameter, and resistivity fluctuation parameter of each resistivity data is as follows:

[0074] Fig q,n,r =(Eld q,n,r +0.01)×(Nop q,n,r +0.01)×(Flp q,n,r +0.01)

[0075] In the formula, Fig q,n,r represents the resistivity noise coefficient of the nth pair of electrodes at the rth moment in the qth measurement area. Eld q,n,r represents the resistivity difference parameter of the nth pair of electrodes at the rth moment in the qth measurement area. Nop q,n,r represents the resistivity noise parameter of the nth pair of electrodes at the rth moment in the qth measurement area. Flp q,n,r represents the resistivity fluctuation parameter of the nth pair of electrodes at the rth moment in the qth measurement area.

[0076] It should be noted that the greater the difference parameter, the greater the probability of error in the resistivity data. The greater the noise parameter, the greater the probability that the resistivity data is noise. The greater the fluctuation parameter, the greater the probability that the data is noise. Therefore, the greater the noise coefficient, the higher the noise level of the resistivity data.

[0077] So far, the noise coefficient corresponding to each resistivity data has been obtained through the above method.

[0078] Step S004: Judge whether the data is abnormal according to the noise coefficient and the noise coefficient threshold; identify the oil, gas, and water quantitatively according to the normal resistivity data.

[0079] It should be noted that the greater the noise factor, the higher the noise level of the resistivity data. Excessive noise levels may lead to abnormal resistivity data. Therefore, in this step, a noise factor needs to be selected to determine whether the resistivity is abnormal. A noise factor threshold H = 6.75 is selected. In this embodiment, the noise factor threshold H is not specifically limited, and other embodiments depend on the specific implementation circumstances.

[0080] Specifically, the specific process of determining whether the data is abnormal based on the noise factor and the noise factor threshold is as follows:

[0081] Collect resistivity data using electrodes and calculate the noise factor of each resistivity data. Compare the noise factor with the noise factor threshold. If the noise factor corresponding to the resistivity data is greater than the noise factor threshold, then the resistivity data is abnormal data and should be discarded. If the noise factor corresponding to the resistivity data is less than the noise factor threshold, then the resistivity data is normal data and should be retained.

[0082] Furthermore, the method for identifying the quantitative amount of oil, gas, and water based on the normal resistivity data is as follows:

[0083] Establish a geological model based on the obtained normal resistivity data, then perform inversion processing using the resistivity data, infer the distribution of underground oil, gas, and water through mathematical methods, and finally verify and correct the results according to the actual situation, including comparative analysis of geological exploration data and the actual situation of underground exploration, etc., to complete the quantitative identification of oil, gas, and water.

[0084] So far, this embodiment is completed.

[0085] The present invention adjusts the electrode spacing to compare the resistivity changes at the same depth in different acquisition areas, combines the distance to obtain the geological distribution characteristics, then compares the resistivity at different depths at the same time in the same acquisition area to obtain the resistivity change characteristics at different depths, combines the resistivity change conditions at the same depth and different acquisition times in the same acquisition area to judge the influence of water flow on the resistivity, comprehensively judges the noise level of the data, selects a threshold and filters out relatively abnormal resistivity data, making the measurement result more accurate and making the quantitative identification of oil, gas, and water by electrical method more accurate.

[0086] The above are only the preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present invention shall be included within the protection scope of the present invention.

Claims

1. A high-precision electrophysical method for quantitatively identifying oil, gas, and water, characterized in that, The method includes the following steps: Buried electrodes; collect resistivity data; Obtain difference parameters according to the resistivity change differences of electrodes with different pole pitches at the same measurement point; obtain resistivity trend parameters through the difference parameters of the resistivity measured at the same moment by the same sequence of electrodes in different measurement areas; obtain the standard trend factor corresponding to each resistivity data according to the trend parameters and distances corresponding to the resistivity measured at the same moment by the same sequence of electrodes in different measurement areas; obtain the noise parameter of each resistivity data according to the difference between the resistivity trend parameter and the standard trend factor corresponding to each resistivity data; Obtain resistivity fluctuation parameters according to the change of resistivity of electrodes with the same pole pitch at different moments in each measurement area; obtain the noise coefficient of each resistivity data according to the difference parameter, noise parameter and resistivity fluctuation parameter of each resistivity data; Judge whether the data is abnormal according to the noise coefficient and the noise coefficient threshold; identify the oil, gas and water quantitatively according to the normal resistivity data.

2. The high-precision electro-magnetic method for quantitatively identifying oil, gas and water according to claim 1, characterized in that The specific method for obtaining the standard trend factor corresponding to each resistivity data according to the trend parameters and distances corresponding to the resistivity measured at the same moment by the same sequence of electrodes in different measurement areas includes: wherein, Stt q，n，r represents the resistivity standard trend factor of the nth pair of electrodes at the rth moment in the qth measurement area, q represents the measurement area sequence, Trp J，n，r represents the resistivity trend parameter of the nth pair of electrodes at the rth moment in the Jth measurement area, S represents the number of measurement areas. To avoid a zero denominator, when I = q during the cumulative operation it is recorded as 0, and when J = q it is recorded as 0.

3. The high-precision electro-chemical method for quantitatively identifying oil, gas and water according to claim 1, characterized in that The specific method for obtaining the difference parameter according to the resistivity change difference of electrodes with different pole pitches at the same measurement point includes: Wherein, Eld q，n，r represents the resistivity difference parameter of the nth pair of electrodes at the rth moment in the qth measurement area, e q，n，r represents the resistivity of the nth pair of electrodes at the rth moment in the qth measurement area, e q，n-1，r represents the resistivity of the nth pair of electrodes at the rth moment in the qth measurement area, e q，2，r represents the resistivity of the 2nd pair of electrodes at the rth moment in the qth measurement area, e q，1，r represents the resistivity of the 1st pair of electrodes at the rth moment in the qth measurement area, e q，i，r represents the resistivity of the ith pair of electrodes at the rth moment in the qth measurement area, e q，i-1，r represents the resistivity of the (i - 1)th pair of electrodes at the rth moment in the qth measurement area, N represents the number of electrode pairs in each measurement area, and n represents the sequence of electrode pairs in each measurement area.

4. The high-precision electro-magnetic method for quantitatively identifying oil, gas and water according to claim 1, wherein The specific method for obtaining the resistivity fluctuation parameter according to the change of resistivity of electrodes with the same pole pitch at different moments in each measurement area includes: where Flp q，n，r represents the resistivity fluctuation parameter of the nth pair of electrodes at the rth moment in the qth measurement area, and e q，n，m represents the resistivity of the nth pair of electrodes at the mth moment in the qth measurement area, represents the mean value of the resistivity of the nth pair of electrodes at each moment in the qth measurement area, T represents the acquisition data duration, and t represents the data acquisition time interval.

5. The high-precision electro-magnetic method for quantitatively identifying oil, gas and water according to claim 1, wherein, The specific method for obtaining the resistivity trend parameter through the difference parameter of the resistivity measured at the same moment by the same sequence of electrodes in different measurement areas includes: where Trp q，n，r represents the resistivity trend parameter of the nth pair of electrodes at the rth moment in the qth measurement area, and Eld q，n，r represents the resistivity difference parameter of the nth pair of electrodes at the rth moment in the qth measurement area, and Eld j，n，r represents the resistivity difference parameter of the nth pair of electrodes at the rth moment in the jth measurement area, and S represents the number of measurement areas.

6. The high-precision electro-magnetic method for quantitatively identifying oil, gas and water according to claim 1, wherein The specific method for obtaining the noise parameter of each resistivity data according to the difference between the resistivity trend parameter and the standard trend factor corresponding to each resistivity data includes: Nop q，n，r = |Trp q，n，r - Stt q，n，r | Where, Nop q，n，r represents the resistivity noise parameter of the nth pair of electrodes at the rth moment in the qth measurement area, Stt q，n，r represents the resistivity standard trend factor of the nth pair of electrodes at the rth moment in the qth measurement area, Trp q，n，r represents the resistivity trend parameter of the nth pair of electrodes at the rth moment in the qth measurement area.

7. The high-precision electro-magnetic method for quantitatively identifying oil, gas and water according to claim 1, wherein The specific method for obtaining the noise coefficient of each resistivity data according to the difference parameter, noise parameter and resistivity fluctuation parameter of each resistivity data includes: Fig q，n，r =(Eld q，n，r +0.01)×(Nop q，n，r +0.01)×(Flp q，n，r +0.01) In the formula, Fig q，n，r represents the resistivity noise coefficient of the nth pair of electrodes at the rth moment in the qth measurement region, Eld q，n，r represents the resistivity difference parameter of the nth pair of electrodes at the rth moment in the qth measurement region, Nop q，n，r represents the resistivity noise parameter of the nth pair of electrodes at the rth moment in the qth measurement region, Flp q，n，r represents the resistivity fluctuation parameter of the nth pair of electrodes at the rth moment in the qth measurement region.

8. The high-precision electrical method for quantitatively identifying oil, gas and water according to claim 1, characterized in that The specific method for the buried electrodes includes: S measurement points in the operation area are arranged in a straight line in sequence, the distance between adjacent measurement points is z meters, N pairs of electrodes are arranged at each measurement point, the pole pitch of the first pair of electrodes arranged at the measurement point is L meters, and the pole pitches of other electrodes increase by L in turn, that is, the pole pitch of the Nth pair of electrodes arranged at the measurement point is N*L meters, and all electrodes are connected to the resistivity instrument.

9. The high-precision electro-magnetic method for quantitatively identifying oil, gas and water according to claim 1, wherein The specific method for judging whether the data is abnormal according to the noise coefficient and the noise coefficient threshold includes: Collect the resistivity data with electrodes and calculate the noise coefficient of each resistivity data, compare the noise coefficient with the noise coefficient threshold. If the noise coefficient corresponding to the resistivity data is greater than the noise coefficient threshold, the resistivity data is abnormal data and is discarded. If the noise coefficient corresponding to the resistivity data is less than the noise coefficient threshold, the resistivity data is normal data and is retained.

10. The high-precision electrical method for quantitatively identifying oil, gas and water according to claim 1, wherein The specific method for identifying the oil, gas and water quantitatively according to the normal resistivity data includes: Establish a geological model based on the obtained normal resistivity data, then perform inversion processing using the resistivity data, infer the distribution of underground oil, gas, and water through mathematical methods, and finally verify and correct the results according to the actual situation, including the comparative analysis of geological exploration data and the actual situation of underground exploration, etc., to complete the quantitative identification of oil, gas, and water.

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