CN113719265B - Repeated fracturing well selection method, device and equipment for shale oil horizontal well - Google Patents
Repeated fracturing well selection method, device and equipment for shale oil horizontal well Download PDFInfo
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- 239000003079 shale oil Substances 0.000 title claims abstract description 40
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Abstract
The invention relates to the technical field of shale oil, in particular to a shale oil horizontal well repeated fracturing well selection method, a device and equipment. The method comprises the steps of obtaining the oil production level before each horizontal well in a horizontal well group to be selected generates the interference and the oil production amount during the interference, and calculating the yield influenced by the interference of each horizontal well; calculating a comprehensive index of each horizontal well including a reversed percentile of the disturbed degree according to the production index of each horizontal well including the production influenced by the disturbed production; and selecting the horizontal well capable of carrying out repeated fracturing calculation according to the comprehensive index of each horizontal well and the set threshold value. According to the method, the influence of the cross-over interference among the wells on well selection is considered, the horizontal well capable of performing repeated fracturing calculation can be selected from the horizontal well group to be selected, the well selection precision is improved, and the workload of performing repeated fracturing calculation on the horizontal well group to be selected is reduced.
Description
Technical Field
The invention relates to the technical field of shale oil, in particular to a shale oil horizontal well repeated fracturing well selection method, a device and equipment.
Background
Shale oil reservoirs have the characteristics of complex pore structures, low permeability, high crude oil viscosity and poor natural energy mobility, and crude oil production is strongly dependent on fracture density. Hydraulic fracturing and horizontal well technology are important means for effectively developing shale oil. Because the primary fracturing may have the conditions of poor reconstruction effect, reduced fracture conductivity due to post-fracturing production and the like, the repeated fracturing becomes the most direct improvement measure, but because the workload of accurately judging whether all horizontal wells in the horizontal well group can be repeatedly fractured is huge, how to preferably select the horizontal well capable of performing repeated fracturing calculation in the horizontal well group is a problem of close attention in the field.
The common repeated fracturing well selection method in the prior art mainly comprises three main categories: 1. the method comprises the steps of firstly comparing the yield of each well, quickly selecting a low-yield well (rough selection), then refining and selecting the well through a fuzzy mathematical algorithm, and finally accurately selecting the well in a high permeability and high skin factor reservoir based on a typical production curve, wherein the method abandons a high-yield well in the first step, and has extremely high requirement on data in the second step, so that the applicability of the method is low; 2. the method is a dimensionless parameter method, based on 5 dimensionless parameters, a well with higher reserve, strong reservoir permeability and ground stress reversal is selected as a repeated fracturing well, the method strongly depends on data, the cost for acquiring real data is very high, and calculation data is often adopted; 3. the method is based on statistical data, an artificial intelligence algorithm is used for learning the data, and then the repeated fracturing well is selected, the method has high requirements on data volume, and the overfitting phenomenon is very serious in the practical application process; 4. and the production dynamic method uses the accumulative production of the horizontal well at different time to represent the quality and the primary reconstruction effect of the reservoir, but does not consider the influence of cross-over among wells.
The formation quality is represented by using 90-day accumulated yield, the primary reconstruction effect is represented by using the ratio of 30-day accumulated yield to 360-day accumulated yield, and finally, the well with better formation quality and insufficient primary reconstruction is selected for repeated fracturing calculation. The method is based on yield, can relatively comprehensively characterize production, is relatively suitable for shale oil reservoirs produced by adopting single wells, has strong operability, and can select the horizontal wells for carrying out repeated fracturing calculation simply and quickly. But the method neglects the conditions of the crosstalk and well group production, and has low applicability to the continental facies shale oil reservoir in which the cracks are relatively developed, the crosstalk generally exists and the well group production becomes the mainstream. Secondly, the method cannot effectively select the horizontal well which can be subjected to repeated fracturing calculation in the well group, and large optimization deviation exists.
At present, a shale oil horizontal well repeated fracturing well selection method considering cross-well interference is needed urgently, and the problem of poor well selection precision caused by the cross-well interference in the prior art is solved.
Disclosure of Invention
In order to solve the problem of poor well selection precision caused by cross-talk among wells in the prior art, the embodiment provides a shale oil horizontal well repeated fracturing well selection method, device and equipment. The method is suitable for the scenario of repeated fracturing well selection of the shale oil horizontal well with the ubiquitous cross-over, the influence of the cross-over on the well selection precision is considered, repeated fracturing well selection work of the shale oil horizontal well with the ubiquitous cross-over and developed by adopting well groups is guided in a targeted manner, and the well selection precision is improved.
Provided herein is a shale oil horizontal well repeated fracturing well selection method, comprising,
acquiring the oil production level before each horizontal well in the horizontal well group to be selected generates the interference and the oil production amount during the interference, and calculating the yield influenced by the interference of each horizontal well;
calculating a comprehensive index of each horizontal well including a reversed percentile of the disturbed degree according to the production index of each horizontal well including the production influenced by the disturbed production;
and selecting the horizontal well capable of carrying out repeated fracturing calculation according to the comprehensive index of each horizontal well and the set threshold value.
Embodiments herein also provide a shale oil horizontal well repeated fracturing well selection device, including,
the production calculation unit influenced by the interference obtains the oil production level before each horizontal well in the horizontal well group to be selected generates the interference and the oil production amount in the interference period, and calculates the production influenced by the interference of each horizontal well;
the horizontal well comprehensive index calculation unit is used for calculating the comprehensive index of each horizontal well, which comprises the reverse percentile of the disturbed degree, according to the production index of each horizontal well, which comprises the production influenced by the disturbed quantity;
and the well selection unit is used for selecting the horizontal well capable of performing repeated fracturing calculation according to the comprehensive index of each horizontal well and a set threshold value.
Embodiments herein also provide a computer device comprising a memory, a processor, and a computer program stored on the memory, the processor implementing the above-described method when executing the computer program.
Embodiments herein also provide a computer storage medium having a computer program stored thereon, the computer program, when executed by a processor of a computer device, performing the above-described method.
By using the embodiment, the method comprises the steps of representing the disturbed degree of the shale oil horizontal well by taking the quantity influenced by the disturbance as an index, calculating a comprehensive index of each horizontal well in the horizontal well group to be selected, wherein the comprehensive index comprises the reversed percentile of the disturbed degree, and selecting the horizontal well capable of carrying out repeated fracturing calculation according to the comprehensive index and a set threshold value. According to the method, the influence of the inter-well interference on well selection is considered, the horizontal well which is good in reservoir quality, insufficient in primary reconstruction and not seriously influenced by the interference can be selected from the horizontal well group to be selected as the horizontal well capable of carrying out repeated fracturing calculation, the well selection precision is improved, and the workload of repeated fracturing calculation on the horizontal well group to be selected is reduced.
Drawings
In order to more clearly illustrate the embodiments or technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic structural diagram of a shale oil horizontal well repeated fracturing well selection device according to an embodiment of the present disclosure;
FIG. 2 is a flow chart illustrating a method of repeated fracturing well selection for a shale oil horizontal well according to an embodiment of the present disclosure;
fig. 3 is a detailed structural diagram of a shale oil horizontal well repeated fracturing well selection device according to an embodiment of the present disclosure;
FIG. 4 is a flow chart illustrating repeated fracturing well selection using production affected by a disturbance according to embodiments herein;
FIG. 5 is a flow chart illustrating the calculation of throughput affected by crosstalk according to embodiments herein;
FIG. 6 is a flow chart illustrating a calculation of a reversed percentile of a degree of tamper according to embodiments herein;
FIG. 7 is a schematic representation of a production curve for a shale oil horizontal well according to an embodiment herein;
fig. 8 is a schematic structural diagram of a computer device according to an embodiment of the present disclosure.
[ description of reference ]:
101. a disturbed influence production calculation unit;
102. a horizontal well comprehensive index calculation unit;
103. a well selection unit;
301. a disturbed influence production calculation unit;
3011. a prescreening module;
3012. a disturbed time calculation module;
3013. a yield acquisition module;
3014. a production affected by crosstalk calculation module;
302. a horizontal well comprehensive index calculation unit;
3021. a medium-term capacity calculation module of a unit horizontal segment;
3022. a primary transformation effect calculation module;
3023. a reservoir quality percentile calculation module;
3024. a primary reconstruction effect percentile calculation module;
3025. the disturbed degree reverse percentile calculation module;
3026. a comprehensive index calculation module;
303. selecting a well;
3031. a threshold setting module;
3032. a comprehensive index comparison module;
802. a computer device;
804. a processing device;
806. a storage resource;
808. a drive mechanism;
810. an input/output module;
812. an input device;
814. an output device;
816. a presentation device;
818. a graphical user interface;
820. a network interface;
822. a communication link;
824. a communication bus.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments herein without making any creative effort, shall fall within the scope of protection.
The method and the device are applied to the repeated fracturing well selection of the shale oil horizontal well, because the number of horizontal wells in the horizontal well group to be selected is large, and the workload of performing repeated fracturing calculation on each well is large, repeated fracturing calculation is performed on all horizontal wells in the horizontal well group to be selected, and then the method for obtaining the horizontal well capable of performing repeated fracturing according to the calculation result brings huge workload and influences the production of the horizontal well. According to the method, the horizontal well capable of performing repeated fracturing calculation is selected from the horizontal well group to be selected, the worker is guided to perform repeated fracturing calculation on the selected horizontal well, the calculated amount is reduced, the influence of cross-well interference on well selection is considered, and the well selection precision is improved.
As shown in fig. 1, a schematic structural diagram of a shale oil horizontal well repeated fracturing well selection device according to an embodiment of the present disclosure is described in this figure, and the structure of the shale oil horizontal well repeated fracturing well selection device specifically includes a disturbed influence production calculation unit 101, a horizontal well comprehensive index calculation unit 102, and a well selection unit 103:
the production calculation unit 101 influenced by the crosstalk acquires the oil production level before each horizontal well in the horizontal well group to be selected generates the crosstalk and the oil production amount during the crosstalk, and calculates the production influenced by the crosstalk of each horizontal well;
the horizontal well comprehensive index calculating unit 102 calculates the comprehensive index of each horizontal well including the reversed percentile of the disturbed degree according to the production index of each horizontal well including the disturbed yield influenced by the disturbance, which is obtained by the disturbed yield influencing unit 101;
the well selection unit 103 selects a horizontal well capable of performing repeated fracturing calculation according to the comprehensive index of each horizontal well obtained by the horizontal well comprehensive index calculation unit 102 and a set threshold value.
Fig. 2 is a flow chart of a shale oil horizontal well repeated fracturing well selection method according to an embodiment, and a repeated fracturing well selection process is described in the flow chart, and the method comprises the following steps:
step 201: acquiring the oil production level before each horizontal well in the horizontal well group to be selected generates the interference and the oil production amount during the interference, and calculating the yield influenced by the interference of each horizontal well;
step 202: calculating a comprehensive index of each horizontal well comprising a reversed percentile of the disturbed degree according to the production index of each horizontal well comprising the yield influenced by the disturbed;
step 203: and selecting the horizontal well capable of carrying out repeated fracturing calculation according to the comprehensive index of each horizontal well and the set threshold value.
In embodiments herein, the candidate well horizontal group comprises a plurality of horizontal wells. The production index further comprises short-term cumulative production, medium-term cumulative production, long-term cumulative production and horizontal segment length of each horizontal well, in the embodiment, the cycle of performing repeated fracturing on each horizontal well is 2-5 years, the short-term cumulative production is short-term accumulated oil production after the last repeated fracturing on the horizontal well, and preferably, the short-term cumulative production is 30 days accumulated oil production after the last repeated fracturing on the horizontal well. The medium term production and the long term production have similar meaning as the short term production, and preferably, the medium term production in the embodiment is the cumulative oil production 90 days after the last repeated fracturing of the horizontal well, and the long term production is the cumulative oil production 360 days after the last repeated fracturing of the horizontal well. The length of the horizontal segment is the length from the landing point of the horizontal well to the drilling completion well depth, oil is mined in the horizontal segment, the lengths of the horizontal segments of the horizontal wells are different due to different mining geographic positions and different oil storage layer positions of the horizontal wells, and the lengths of the horizontal segments of the horizontal wells are obtained respectively and used for repeated fracturing well selection. The threshold value can be obtained according to manual experience, for example, a horizontal well with a comprehensive index of more than 90 has a recommended repeated fracturing well, repeated fracturing can be directly performed without repeated fracturing calculation, the horizontal well with the comprehensive index of 80-90 is a horizontal well with the comprehensive index of considering the repeated fracturing well, and repeated fracturing calculation can be performed to further determine a repeated fracturing result.
According to the method, the disturbed degree of the shale oil horizontal well is represented by taking the quantity influenced by the disturbance as an index, the comprehensive index of each horizontal well in the horizontal well group of the well to be selected, which comprises the reversed percentile of the disturbed degree, is calculated, the horizontal well capable of performing repeated fracturing calculation is selected according to the comprehensive index and the set threshold value, the influence of the cross-talk between wells on well selection is considered, and the precision of well selection is improved. According to the method, the horizontal well which is good in reservoir quality, insufficient in primary modification and not seriously affected by the crosstalk can be selected from the horizontal well group to be selected as the horizontal well capable of performing repeated fracturing calculation, so that the selected horizontal well can be subjected to further repeated fracturing calculation subsequently, and the workload of repeated fracturing calculation is reduced.
According to an embodiment of the present disclosure, in order to further reduce the calculation amount and improve the well selection efficiency, step 201 obtains an oil production level before each horizontal well in the horizontal well group to be selected generates a cross-over and an oil production amount during the cross-over, and further includes removing a horizontal well in the horizontal well group to be selected, which is damaged to a point where repeated fracturing cannot be performed, before calculating a yield of each horizontal well affected by the cross-over.
In the step, if a certain horizontal well is subjected to repeated fracturing for the last time due to factors such as geographical position or oil reservoir distribution, the shaft of the horizontal well is damaged and cannot be subjected to repeated fracturing again, so that it is meaningless to calculate the yield influenced by the disturbance of the horizontal well and calculate the comprehensive index of the yield, and the calculation amount is increased. Therefore, the shaft of each horizontal well in the well horizontal well group to be selected is observed and analyzed through modes such as artificial experience, and the horizontal well which is damaged to the extent that repeated fracturing cannot be carried out is eliminated.
According to one embodiment herein, the formula for calculating the production affected by crosstalk for each horizontal well in step 201 is (1):
IP_Affected_Reverse＝IP×d-IP_Affected (1)
wherein, IP _ Affected _ Reverse represents the yield Affected by the crosstalk, IP represents the oil production level before the crosstalk is generated, d represents the total time of the crosstalk, and IP _ Affected represents the oil production during the crosstalk.
In the step, the time for generating the cross-talk, the total time of the cross-talk, the oil production level before the cross-talk is generated, the oil production amount during the cross-talk and the like of the horizontal well can be obtained through the production curve of the shale oil horizontal well.
Specifically, the production curve of the shale oil horizontal well can be as shown in fig. 7, which includes a daily fluid production curve, a daily oil production curve, a water content curve, etc., when a certain horizontal well produces a cross-over, the daily oil yield of the well is rapidly reduced, the daily liquid yield and the water content are rapidly increased, the daily liquid yield curve, the daily oil yield curve and the water content curve are respectively integrated to obtain the inflection points of the rapidly reduced partial sub-curve and the rapidly increased partial sub-curve of each curve, taking the average value of inflection points of partial sub-curves of the rapid decline of the daily liquid production curve, the daily oil production curve and the water content curve as the time for generating the interference, taking the average value of inflection points of partial sub-curves with the daily liquid production curve, the daily oil production curve and the water content curve rising rapidly as the time of ending the interference, and further obtaining the total time of the interference, and calculating the oil production level before the interference is generated and the oil production during the interference through a daily oil production curve.
According to one embodiment herein, the composite indicator of step 202 further includes a percentile of reservoir quality and a percentile of primary alteration effectiveness.
In this step, the percentile of reservoir quality represents the quality of the oil reservoir of the horizontal well and can be obtained from production indexes such as oil production. The primary reconstruction effect represents the oil production effect of the horizontal well after repeated fracturing, the method is not limited to fracturing the horizontal well for the first time, and the oil production effect after fracturing can be obtained as the primary reconstruction effect after repeated fracturing every time.
According to an embodiment of the present disclosure, the step 202 of calculating a comprehensive indicator including a reversed percentile of the disturbed degree of each horizontal well according to the production indicator including the production affected by the disturbed further includes calculating a medium-term production capacity of a unit horizontal segment of each horizontal well and a primary transformation effect of each horizontal well according to the production indicator; calculating the percentile of the reservoir quality according to the mid-term capacity of the unit horizontal segment; calculating the percentile of the primary reconstruction effect according to the primary reconstruction effect; calculating the reverse percentile of the disturbed degree according to the disturbed influence yield; and calculating the comprehensive index of each horizontal well according to the reservoir quality percentile, the primary reconstruction effect percentile and the reversed percentile of the disturbed degree of each horizontal well.
In this step, the formula for calculating the middle-term productivity of the horizontal unit horizontal segment of the horizontal well is (2):
Norm_IP90＝IP90/SLL (2)
wherein Norm _ IP90 represents the medium term capacity of the unit horizontal segment, IP90 represents the medium term cumulative capacity, and SLL represents the length of the horizontal segment. Preferably, the medium term pay as described in the embodiments herein is 90 days after repeated fracturing.
The formula for calculating the primary transformation effect is (3):
IP_first＝IP30/IP360 (3)
wherein IP _ first represents the primary rebuilding effect, IP30 represents the short-term cumulative yield, and IP360 represents the long-term cumulative yield. Preferably, the short term production is 30 days after repeated fracturing and the long term production is 360 days after repeated fracturing in the embodiments herein.
According to an embodiment of the disclosure, calculating the reverse percentile of the disturbed degree according to the production influenced by the disturbance further includes performing ascending ranking on the production influenced by the disturbance of each horizontal well to obtain a ranking table of the production influenced by the disturbance, and calculating the reverse percentile of the disturbed degree of the horizontal well according to the position of the horizontal well in the ranking table of the production influenced by the disturbance and the number of horizontal wells in the horizontal well group to be selected.
In the step, the production affected by the crosstalk of each horizontal well is sorted in an ascending order, and then the reverse percentile of the crosstalk degree of each horizontal well is calculated according to the sorting table of the production affected by the crosstalk and the number of the horizontal wells in the horizontal well group to be selected, so that the accurate ranking of the production affected by the crosstalk of each horizontal well in the horizontal well group to be selected is obtained. Compared with the well selection method in the prior art, the well selection method has the advantages that the yield is influenced by the crosstalk in the well selection process, the influence of the crosstalk among wells on the well selection is considered, and the well selection precision is improved.
In addition, the medium-term productivity of the unit horizontal section of each horizontal well is sorted in an ascending order to obtain a sorting table of the medium-term productivity of the unit horizontal section, and the reservoir quality percentile of each horizontal well is calculated according to the sorting table of the medium-term productivity of the unit horizontal section and the number of the horizontal wells in the horizontal well group of the well to be selected, so that the accurate ranking of the reservoir quality of each horizontal well in the horizontal well group of the well to be selected is obtained. Therefore, in the well selection process, the influence of cross-talk among wells is considered, the quality of an oil storage layer of the horizontal well is also considered, and the well selection precision is further improved.
In addition, the primary modification effects of the horizontal wells are sorted in an ascending order to obtain a sorting table of the primary modification effects, and the primary modification effect percentile of each horizontal well is calculated according to the sorting table of the primary modification effects and the number of the horizontal wells in the horizontal well group to be selected, so that the accurate ranking of the primary modification effects of the horizontal wells in the horizontal well group to be selected is obtained. Therefore, in the well selection process, besides the influence of cross-talk among wells and the quality of an oil storage layer, the primary modification effect of the horizontal well is also considered, and the well selection precision is further improved.
Therefore, the yield influenced by the crosstalk is added in the well selection process, the influence of the crosstalk between wells on the well selection is considered, in addition, the quality of an oil storage layer and the primary transformation effect of the horizontal well are also added, the horizontal well which is not seriously influenced by the crosstalk, has better quality of the oil storage layer and is insufficient in the primary transformation effect is comprehensively selected as the horizontal well capable of performing repeated fracturing calculation, the well selection precision is improved, and the workload of performing repeated fracturing calculation on the horizontal well group to be selected is reduced.
According to one embodiment herein, the formula for calculating the reverse percentile of the degree of crosstalk is (4):
wherein k represents the position of the horizontal well in the ranking table of the yield influenced by the channeling, IP _ Affected _ Reverse _ Percentile (z (k)) represents the reversed Percentile of the channeling degree of the horizontal well, and m represents the number of horizontal wells in the horizontal well group to be selected.
The formula for calculating the percentile of reservoir quality is (5):
wherein i represents the position of the horizontal well in the sequencing table of the medium-term productivity of the unit horizontal section, Norm _ IP90_ Percentile (x (i)) represents the reservoir quality Percentile of the horizontal well, and m represents the number of horizontal wells in the horizontal well group to be selected.
The formula for calculating the percentile of the primary reconstruction effect is (6):
wherein j represents the position of the horizontal well in the ranking table of the primary reconstruction effect, IP _ first _ Percentile (y (j)) represents the primary reconstruction effect Percentile of the horizontal well, and m represents the number of horizontal wells in the horizontal well group to be selected.
According to an embodiment herein, calculating the composite indicator of each horizontal well according to the percentile of reservoir quality, the percentile of primary improvement effect, and the reverse percentile of disturbed degree of each horizontal well further includes weighting and averaging the percentile of reservoir quality, the percentile of primary improvement effect, and the reverse percentile of disturbed degree to obtain the composite indicator.
In this step, the weight may be calculated according to the production index of the horizontal well, for example, historical production data of each horizontal well is obtained, a reservoir quality percentile, a primary transformation effect percentile, and a disturbed degree reverse percentile of each horizontal well are respectively calculated, the weight is determined by a principal component analysis method, and then a comprehensive index of each horizontal well is calculated. The reservoir quality percentile, the primary reconstruction effect percentile and the mean value of the reversed percentile of the disturbed degree of each horizontal well can also be taken as the self comprehensive index, and the formula is (7):
wherein C represents a comprehensive index of one horizontal well, NormIP90_ Percentile represents the Percentile of the reservoir quality of the horizontal well, IP _ first _ Percentile represents the Percentile of the primary reconstruction effect of the horizontal well, and IP _ Affected _ Reverse _ Percentile represents the Reverse Percentile of the disturbed degree of the horizontal well.
Fig. 3 is a detailed structural diagram of a shale oil horizontal well repeated fracturing well selection device according to an embodiment of the present disclosure, and a detailed structure of the shale oil horizontal well repeated fracturing well selection device is specifically described in the present diagram, and includes a disturbed influence production calculation unit 301, a horizontal well comprehensive index calculation unit 302, and a well selection unit 303.
According to an embodiment of the present disclosure, the production calculation unit 301 affected by crosstalk further includes a preliminary screening module 3011, which eliminates horizontal wells in the horizontal well group to be selected, where the damaged well bore cannot be fractured repeatedly, further reduces the calculation amount, and improves the well selection efficiency. The shaft of each horizontal well in the well horizontal well group to be selected can be observed and analyzed through artificial experience and other modes, and the horizontal well which is damaged to the extent that repeated fracturing cannot be carried out is eliminated.
According to an embodiment herein, the disturbed-influence production calculation unit 301 further comprises a disturbed-time calculation module 3012, which calculates the time to generate the disturbance and the total time of the disturbance according to the production curve of the shale oil horizontal well. Specifically, as shown in fig. 7, when a certain horizontal well generates a cross-talk, the daily oil production of the well rapidly decreases, the daily oil production and the water content rapidly increase, the daily oil production and the water content curves can be respectively integrated to obtain inflection points of the daily oil production, the water content curve rapidly decreasing and rapidly increasing sub-curves, an average value of the inflection points of the daily oil production, the daily oil production and the water content curve rapidly decreasing sub-curves is taken as the time for generating the cross-talk, an average value of the inflection points of the respective curves rapidly increasing sub-curves is taken as the time for ending the cross-talk, and then the total time of the cross-talk is obtained, so that the cross-talk affected yield calculation module 3014 can calculate the output affected by the cross-talk according to the total time of the cross-talk.
According to an embodiment herein, the production affected by the tamper further includes a production obtaining module 3013, obtaining 30-day cumulative production, 90-day cumulative production, 360-day cumulative production of the horizontal well, and average daily production before the tamper, oil production during the tamper, and the like, through a production curve of the horizontal well, so that the affected by tamper production calculating module 3014 calculates the affected by the tamper according to the average daily production before the tamper, the oil production during the tamper, and the horizontal well comprehensive index calculating unit 302 calculates the comprehensive index of the horizontal well.
According to an embodiment of the present disclosure, the tamper-affected yield calculation unit 301 further includes a tamper-affected yield calculation module 3014, and calculates the tamper-affected yield according to the total tamper-affected time obtained by the tamper time calculation module 3012 and the average daily yield before the tamper occurs and the oil yield during the tamper period obtained by the yield obtaining module 3013 by using formula (1) in this specification.
According to an embodiment of the present disclosure, the horizontal well synthetic index calculating unit 302 further includes a middle term capacity calculating module 3021 for the horizontal unit segment, and calculates the middle term capacity of the horizontal unit segment of the horizontal well by using a formula (2) in this specification according to the 90-day cumulative yield of the horizontal well and the horizontal segment length of the horizontal well, which are acquired by the yield acquiring module 3013.
According to an embodiment of the present disclosure, the horizontal well synthetic index calculating unit 302 further includes an initial modification effect calculating module 3022, which calculates an initial modification effect of the horizontal well by using formula (3) in this specification according to 30 days of the cumulative yield and 360 days of the cumulative yield of the horizontal well, which are obtained by the yield obtaining module 3013.
According to an embodiment of the present disclosure, the horizontal well comprehensive indicator calculating unit 302 further includes a reservoir quality percentile calculating module 3023, and the medium-term productivity of each horizontal well calculated by the medium-term productivity calculating module 3021 for a unit horizontal segment is sorted in an ascending order to obtain a sorting table of medium-term productivity of the unit horizontal segment, and then the reservoir quality percentile of each horizontal well is calculated by using formula (5) in this specification according to the sorting table of medium-term productivity of the unit horizontal segment and the number of horizontal wells in the horizontal well group to be selected.
According to an embodiment of the present disclosure, the horizontal well comprehensive indicator calculating unit 302 further includes a primary modification effect percentile calculating module 3024, and first performs ascending ranking on the primary modification effects of the horizontal wells calculated by the primary modification effect calculating module 3022 to obtain a ranking table of the primary modification effects, and then calculates the primary modification effect percentile of each horizontal well by using the formula (6) in this specification according to the ranking table of the primary modification effects and the number of horizontal wells in the horizontal well group to be selected.
According to an embodiment of the present disclosure, the horizontal well comprehensive indicator calculating unit 302 further includes a module 3025 for calculating a reverse percentile of the disturbed degree, and the module firstly performs ascending ranking on the disturbed yield of each horizontal well obtained by the disturbed yield calculating unit 301 to obtain a ranking table of the disturbed yield, and then calculates the reverse percentile of the disturbed degree of each horizontal well by using the formula (4) in this specification according to the ranking table of the disturbed yield and the number of horizontal wells in the horizontal well group to be selected.
According to an embodiment of the present disclosure, the horizontal well comprehensive indicator calculating unit 302 further includes a comprehensive indicator calculating module 3026, and the comprehensive indicator is obtained by weighting and averaging the percentile of the reservoir quality obtained by the percentile of the reservoir quality calculating module 3023, the percentile of the primary reconstruction effect obtained by the percentile of the primary reconstruction effect calculating module 3024, and the reverse percentile of the disturbed degree obtained by the reverse percentile of the disturbed degree calculating module 3025. The historical production data of each horizontal well can be obtained through the yield obtaining module 3013, then the reservoir quality percentile calculating module 3023, the primary modification effect percentile calculating module 3024, and the reversed-to-be-disturbed-degree percentile calculating module 3025 calculate the reservoir quality percentile, the primary modification effect percentile, and the reversed-to-be-disturbed-degree percentile of each horizontal well, determine the weight through a principal component analysis method, and then calculate the comprehensive index of each horizontal well. And the mean value of the reservoir quality percentile, the primary reconstruction effect percentile and the reversed percentile of the disturbed degree of each horizontal well can be taken as a comprehensive index by using a formula (7) in the specification.
According to an embodiment of the present disclosure, the well selection unit 303 further includes a threshold setting module 3031, which obtains a threshold according to manual experience, for example, a horizontal well with a comprehensive index greater than 90 has a recommended re-fractured well, and can directly perform re-fracturing without performing re-fracturing calculation, and a horizontal well with a comprehensive index between 80 and 90 considers the re-fractured well for recommendation, and can perform re-fracturing calculation to further determine a re-fracturing result.
According to an embodiment of the present disclosure, the well selection unit 303 further includes a comprehensive index comparison module 3032, which compares the comprehensive index of each horizontal well in the horizontal well group to be selected, which is obtained by the comprehensive index calculation module 3026, with the threshold value set by the threshold value setting module 3031, and selects a horizontal well capable of performing repeated fracturing calculation.
Fig. 4 is a flow chart of performing repeated fracturing well selection by using the production influenced by the crosstalk according to the embodiment, the horizontal well group to be selected in the embodiment includes a plurality of horizontal wells, and the flow chart describes the repeated fracturing well selection by using the production influenced by the crosstalk. The method specifically comprises the following steps:
step 401: and analyzing the production curve of each horizontal well in the horizontal well group of the well to be selected.
In this step, the production curve of the horizontal well is shown in fig. 7, which includes a daily fluid production curve, a daily oil production curve, and a water content curve, and the short term cumulative yield, the long term cumulative yield, the medium term cumulative yield, and the calculated yield affected by the disturbance can be obtained through the production curve.
Step 402: short term cumulative outcomes are obtained (IP 30).
In this step, short-term cumulative production of each horizontal well, namely 30 days cumulative production after repeated fracturing, is obtained according to the production curve of each horizontal well in step 401.
Step 403: acquiring long-term cumulative yield (IP 360).
In this step, the long-term cumulative yield of each horizontal well, that is, the cumulative yield of 360 days after repeated fracturing, is obtained according to the production curve of each horizontal well in step 401.
Step 404: intermediate cumulative yield is obtained (IP 90).
In this step, the medium term cumulative yield of each horizontal well, that is, the 90-day cumulative yield after repeated fracturing, is obtained according to the production curve of each horizontal well in step 401.
Step 405: the throughput Affected by the crosstalk (IP _ Affected) is calculated.
In this step, the production Affected by the crosstalk (IP _ Affected) of each horizontal well is calculated from the production curve of each horizontal well in step 401.
Step 406: and calculating the primary reconstruction effect (IP _ First).
In the step, according to the 30-day cumulative yield (IP30) of the horizontal well obtained in the step 402 and the 360-day cumulative yield (IP360) of the horizontal well obtained in the step 403, the primary reconstruction effect (IP _ First) of the horizontal well is calculated according to the formula (3) in the specification.
Step 407: the mid-term capacity per unit level segment (Norm _ IP90) is calculated.
In this step, the medium-term productivity (Norm _ IP90) of the horizontal segment per unit is calculated according to the 90-day cumulative production (IP90) of the horizontal well obtained in step 404 and the horizontal segment length of the horizontal well by using formula (2) in the specification.
Step 408: and calculating the Percentile of the primary reconstruction effect (IP _ First _ Percentile).
In the step, the primary reconstruction effect (IP _ First) of each horizontal well calculated in the step 406 is sorted in an ascending order to obtain a sorting table of the primary reconstruction effect, and then the primary reconstruction effect Percentile (IP _ First _ Percentile) of each horizontal well is calculated by using a formula (6) in the specification according to the sorting table of the primary reconstruction effect and the number of horizontal wells in the horizontal well group to be selected.
Step 409: the reservoir quality Percentile (Norm _ IP90_ Percentile) is calculated.
In the step, the medium term productivity (Norm _ IP90) of the unit horizontal segment of each horizontal well calculated in the step 407 is subjected to ascending sequencing to obtain a sequencing table of the medium term productivity of the unit horizontal segment, and then the reservoir quality Percentile (Norm _ IP90_ Percentile) of each horizontal well is calculated by using the formula (5) in the specification according to the sequencing table of the medium term productivity of the unit horizontal segment and the number of horizontal wells in the horizontal well group to be selected.
Step 410: the reversed Percentile of the degree of crosstalk (IP _ Affected _ Reverse _ percent) is calculated.
In this step, the production Affected by the channeling (IP _ Affected) of each horizontal well calculated in step 405 is sorted in an ascending order, and then the reversed Percentile of the degree of the channeling (IP _ Affected _ Reverse _ percentage) of each horizontal well is calculated by using the formula (4) in this specification according to the sorting table of the production Affected by the channeling and the number of horizontal wells in the horizontal well group to be selected.
Step 411: and calculating a comprehensive index.
In this step, the comprehensive index of each horizontal well is calculated according to the primary reconstruction effect Percentile (IP _ First _ Percentile) obtained in step 408, the reservoir quality Percentile (Norm _ IP90_ Percentile) obtained in step 409, and the disturbed degree Reverse Percentile (IP _ Affected _ Reverse _ Percentile) obtained in step 410 by using formula (7) in this specification.
Step 412: and carrying out repeated fracturing well selection according to the comprehensive index and the threshold value.
In this step, the comprehensive indexes of the horizontal wells are compared with the set threshold values, and the horizontal well capable of performing repeated fracturing calculation is selected.
By the method described in the figure 4, the yield influenced by the crosstalk is added in the well selection process, the influence of the crosstalk between wells on the well selection is considered, in addition, the quality of the oil storage layer of the horizontal well and the primary transformation effect are also added, the horizontal well with the minimum crosstalk influence yield, the best quality of the oil storage layer and the best primary transformation effect is comprehensively selected for carrying out repeated fracturing calculation, the well selection precision is improved, the repeated fracturing calculation is further carried out on the horizontal well in the well selection result, the repeated fracturing result is obtained, and the workload of the repeated fracturing calculation is reduced.
Further, the process of calculating the disturbed influenced production (IP _ Affected) of one horizontal well in the candidate well group in step 405 is shown in fig. 5, and specifically includes:
step 501: and analyzing the production curve of the shale oil horizontal well to obtain the time of the horizontal well for generating the cross-talk, the total time of the cross-talk, the oil production level before the cross-talk is generated and the oil production during the cross-talk.
In this step, the production curve of the shale oil horizontal well is as shown in fig. 7, when a certain horizontal well produces a cross-talk, the daily oil yield of the well is rapidly reduced, the daily oil yield and the water content are rapidly increased, the daily oil yield curve and the water content curve can be respectively integrated to obtain the inflection points of the sub-curves of the rapidly reduced part and the rapidly increased part of the daily oil yield curve, the daily oil yield curve and the water content curve, taking the average value of inflection points of partial sub-curves of the rapid decline of the daily liquid production curve, the daily oil production curve and the water content curve as the time for generating the interference, taking the average value of inflection points of partial sub-curves with the daily liquid production curve, the daily oil production curve and the water content curve rising rapidly as the time of ending the interference, and further obtaining the total time of the interference, and calculating the oil production level before the interference is generated and the oil production during the interference through a daily oil production curve.
Step 502: and calculating the influence of the horizontal well on the yield caused by the interference.
In the step, the total time of the interference, the oil production level before the interference and the oil production during the interference obtained in the step 501 are used for calculating the interference-affected production of the horizontal well by using the formula (1) in the specification.
Further, the process of calculating the reversed Percentile of the disturbed degree (IP _ Affected _ Reverse _ percent) of one horizontal well in the horizontal well group to be selected in step 410 is shown in fig. 6, and specifically includes:
step 601: and performing ascending sorting on the yield influenced by the crosstalk to obtain a sorting table of the yield influenced by the crosstalk.
In this step, the production affected by the crosstalk of each horizontal well in the horizontal well group of the well to be selected, which is obtained by the method described in fig. 4, is sorted in an ascending order.
Step 602: and calculating the reversed percentile of the disturbed degree of the horizontal well according to the position of the horizontal well in the sequencing table of the quantity influenced by the disturbance and the number of the horizontal wells in the horizontal well group to be selected.
In the step, the reversed percentile of the disturbed degree of the horizontal well is calculated by using a formula (4) in the specification according to the position of the horizontal well in the ranking table of the disturbed influence yield obtained in the step 601 and the number of the horizontal wells in the horizontal well group to be selected.
As shown in fig. 8, which is a schematic structural diagram of a computer apparatus in an embodiment of the present invention, a shale oil horizontal well repeated fracturing well selection apparatus in the present embodiment may be a computer apparatus in the present embodiment, and perform the method in the present invention. Computer device 802 may include one or more processing devices 804, such as one or more Central Processing Units (CPUs), each of which may implement one or more hardware threads. The computer device 802 may also include any storage resources 806 for storing any kind of information, such as code, settings, data, etc. For example, and without limitation, storage resources 806 may include any one or more of the following in combination: any type of RAM, any type of ROM, flash memory devices, hard disks, optical disks, etc. More generally, any storage resource may use any technology to store information. Further, any storage resource may provide volatile or non-volatile reservation of information. Further, any storage resources may represent fixed or removable components of computer device 802. In one case, when the processing device 804 executes associated instructions stored in any storage resource or combination of storage resources, the computer device 802 can perform any of the operations of the associated instructions. The computer device 802 also includes one or more drive mechanisms 808, such as a hard disk drive mechanism, an optical disk drive mechanism, etc., for interacting with any storage resource.
Embodiments herein also provide a computer device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the following steps when executing the computer program:
acquiring the oil production level before each horizontal well in the horizontal well group to be selected generates the interference and the oil production during the interference, and calculating the yield influenced by the interference of each horizontal well;
calculating a comprehensive index of each horizontal well including a reversed percentile of the disturbed degree according to the production index of each horizontal well including the production influenced by the disturbed production;
and selecting the horizontal well capable of carrying out repeated fracturing calculation according to the comprehensive index of each horizontal well and the set threshold value.
Corresponding to the methods in fig. 2, 4-6, embodiments herein also provide a computer-readable storage medium having stored thereon a computer program, which, when executed by a processor, performs the steps of the above-described method.
Embodiments herein also provide computer readable instructions, wherein when executed by a processor, a program thereof causes the processor to perform the methods as shown in fig. 2, 4-6.
It should be understood that, in various embodiments herein, the sequence numbers of the above-mentioned processes do not mean the execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments herein.
It should also be understood that, in the embodiments herein, the term "and/or" is only one kind of association relation describing an associated object, meaning that three kinds of relations may exist. For example, a and/or B, may represent: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship.
Those of ordinary skill in the art will appreciate that the elements and algorithm steps of the examples described in connection with the embodiments disclosed herein may be embodied in electronic hardware, computer software, or combinations of both, and that the components and steps of the examples have been described in a functional general in the foregoing description for the purpose of illustrating clearly the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present disclosure.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided herein, it should be understood that the disclosed system, apparatus, and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may also be an electrical, mechanical or other form of connection.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purposes of the embodiments herein.
In addition, functional units in the embodiments herein may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the present invention may be implemented in a form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the methods described in the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The principles and embodiments of this document are explained herein using specific examples, which are presented only to aid in understanding the methods and their core concepts; meanwhile, for a person skilled in the art, according to the idea of the present disclosure, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present disclosure should not be construed as a limitation to the present disclosure.
Claims (8)
1. A repeated fracturing well selection method for a shale oil horizontal well is characterized by comprising the following steps,
the method comprises the steps of obtaining the oil production level before each horizontal well in a horizontal well group to be selected generates the interference and the oil production amount during the interference, calculating the interference yield of each horizontal well, and calculating the interference yield of each horizontal well according to the following formula:
IP_Affected_Reverse＝IP×d-IP_Affected
wherein IP _ Affected _ Reverse represents the yield Affected by the crosstalk, IP represents the oil production level before the crosstalk is generated, d represents the total time of the crosstalk, and IP _ Affected represents the oil production during the crosstalk;
calculating a comprehensive index of each horizontal well, including a reversed percentile of the disturbed degree, according to the production index of each horizontal well, including the yield influenced by the disturbance, wherein the comprehensive index of each horizontal well, including a reservoir quality percentile and a primary reconstruction effect percentile, includes calculating the comprehensive index of each horizontal well, including the reversed percentile of the disturbed degree, according to the production index of each horizontal well, including the yield influenced by the disturbance, and further includes calculating the medium-term capacity of each horizontal well unit horizontal segment and the primary reconstruction effect of each horizontal well according to the production index; calculating the percentile of the reservoir quality according to the mid-term capacity of the unit horizontal segment; calculating the percentile of the primary reconstruction effect according to the primary reconstruction effect; calculating the reverse percentile of the disturbed degree according to the disturbed influence yield; calculating a comprehensive index of each horizontal well according to the reservoir quality percentile, the primary reconstruction effect percentile and the reversed percentile of the disturbed degree of each horizontal well;
and selecting the horizontal well capable of carrying out repeated fracturing calculation according to the comprehensive index of each horizontal well and the set threshold value.
2. The shale oil horizontal well repeated fracturing well selection method according to claim 1, characterized in that the oil production level before each horizontal well in the well group to be selected generates the cross-over and the oil production during the cross-over are obtained, before calculating the yield influenced by the cross-over of each horizontal well, the method further comprises,
and removing the horizontal well which cannot be repeatedly fractured and is damaged by the shaft in the horizontal well group to be selected.
3. The method of repeated fracturing well selection for a shale oil horizontal well according to claim 1, wherein calculating the reverse percentile of the degree of blowby according to the production affected by blowby further comprises,
and performing ascending sorting on the yield influenced by the crosstalk of each horizontal well to obtain a sorting table of the yield influenced by the crosstalk, and calculating the reverse percentile of the crosstalk degree of the horizontal well according to the position of the horizontal well in the sorting table of the yield influenced by the crosstalk and the number of the horizontal wells in the horizontal well group to be selected.
4. The shale oil horizontal well repeated fracturing well selection method of claim 3,
the formula for calculating the reversed percentile of the disturbed degree is as follows:
wherein k represents the position of the horizontal well in the ranking table of the yield influenced by the channeling, IP _ Affected _ Reverse _ Percentile (z (k)) represents the reversed Percentile of the channeling degree of the horizontal well, and m represents the number of horizontal wells in the horizontal well group to be selected.
5. The repeated fracturing well selection method for shale oil horizontal wells as claimed in claim 1, wherein calculating a composite indicator for each horizontal well based on said reservoir quality percentile, said primary modification effect percentile, and said reversed disturbed degree percentile for each horizontal well further comprises,
and weighting and averaging the reservoir quality percentile, the primary reconstruction effect percentile and the reversed tamper degree percentile to obtain the comprehensive index.
6. A repeated fracturing well selection device for a shale oil horizontal well is characterized by comprising,
the production calculation unit influenced by the crosstalk obtains the oil production level before each horizontal well in the horizontal well group of the well to be selected generates the crosstalk and the oil production amount in the crosstalk period, the production influenced by the crosstalk of each horizontal well is calculated, and the formula for calculating the production influenced by the crosstalk of each horizontal well is as follows:
IP_Affected_Reverse＝IP×d-IP_Affected
wherein IP _ Affected _ Reverse represents the yield Affected by the crosstalk, IP represents the oil production level before the crosstalk is generated, d represents the total time of the crosstalk, and IP _ Affected represents the oil production during the crosstalk;
the horizontal well comprehensive index calculating unit is used for calculating the comprehensive index of each horizontal well, which comprises the reversed percentile of the disturbed degree, according to the production index of each horizontal well, which comprises the yield influenced by the disturbed quantity, wherein the comprehensive index comprises a reservoir quality percentile and a primary reconstruction effect percentile;
the well selection unit is used for selecting a horizontal well capable of performing repeated fracturing calculation according to the comprehensive indexes of all the horizontal wells and a set threshold value;
the horizontal well comprehensive index calculating unit comprises a horizontal well comprehensive index calculating unit,
the medium-term capacity calculation module of the unit horizontal segment is used for calculating the medium-term capacity of the unit horizontal segment of each horizontal well according to the production index;
the primary reconstruction effect calculation module is used for calculating the primary reconstruction effect of each horizontal well according to the production index;
the reservoir quality percentile calculation module is used for calculating the reservoir quality percentile according to the medium-term capacity of the unit horizontal segment;
the primary reconstruction effect percentile calculation module is used for calculating the primary reconstruction effect percentile according to the primary reconstruction effect;
the disturbed degree reverse percentile calculation module is used for calculating the disturbed degree reverse percentile according to the disturbed influence yield;
and the comprehensive index calculation module is used for calculating the comprehensive index of each horizontal well according to the reservoir quality percentile, the primary reconstruction effect percentile and the reversed disturbed degree percentile of each horizontal well.
7. A computer device comprising a memory, a processor, and a computer program stored on the memory, wherein the computer program, when executed by the processor, performs the instructions of the method of any one of claims 1-5.
8. A computer storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor of a computer device, executes instructions of a method according to any one of claims 1-5.
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