CN113833446B - Fracturing effect evaluation method and device - Google Patents
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Abstract
The embodiment of the specification provides a fracturing effect evaluation method and device. The method comprises the following steps: acquiring evaluation parameters, wherein the evaluation parameters comprise fracturing design data, field implementation data, production data and economic cost data; calculating according to the production data and the economic cost data to obtain a fracturing yield effect evaluation index; determining fracturing implementation effect evaluation indexes according to the fracturing design data and the on-site implementation data; and evaluating the fracturing effect according to the fracturing yield increasing effect evaluation index and the fracturing implementation effect evaluation index, so that the accuracy of the fracturing effect evaluation is improved.
Description
Technical Field
The embodiment of the specification relates to the field of oil and gas field development, in particular to a fracturing effect evaluation method and device.
Background
With the development of oil fields, the development difficulty of oil and gas reservoirs is gradually increased, and in order to fully exploit oil and gas wells, a reservoir is usually referred to as an oil layer or a gas layer) is subjected to fracturing treatment. In the petroleum field, fracturing refers to a method for forming cracks in hydrocarbon reservoirs by utilizing the hydraulic action in the oil or gas extraction process, and is also called hydraulic fracturing. Fracturing artificially cracks a stratum, improves the flowing environment of oil in the underground, increases the yield of an oil well, and plays an important role in improving the flowing condition of the bottom of the oil well, slowing down the interlayer and improving the oil layer utilization condition. Therefore, evaluating the fracturing effect of a reservoir is very important in determining the productivity of the reservoir.
The fracturing investment is large, the application implementation effect directly influences the selection of subsequent yield-increasing measures, and the evaluation of the application implementation effect is an important link in the oilfield development process. The conventional fracturing effect evaluation method generally considers two indexes of the yield increase effect and the fracturing effective period after application and implementation, and evaluates the fracturing effect through the two indexes.
The yield increasing effect and the fracturing effective period can only reflect the quality of the pressure effect to a certain extent, but the situation that the yield increasing effect has long fracturing effective period, but the exploitation difficulty is increased and the exploitation cost is increased can also occur, so that the quality of the pressure effect can not be reflected only by the yield increasing effect and the fracturing effective period.
The existing fracturing effect evaluation method cannot reflect the influence of the fracturing effect on oil field development, so that the accuracy of the existing fracturing effect evaluation is insufficient.
Disclosure of Invention
The embodiment of the specification aims to provide a fracturing effect evaluation method and device so as to improve the accuracy of fracturing effect evaluation.
To solve the above problems, embodiments of the present disclosure provide a fracturing effect evaluation method, including: acquiring evaluation parameters, wherein the evaluation parameters comprise fracturing design data, field implementation data, production data and economic cost data; calculating according to the production data and the economic cost data to obtain a fracturing yield effect evaluation index; determining fracturing implementation effect evaluation indexes according to the fracturing design data and the on-site implementation data; and evaluating the fracturing effect according to the fracturing yield increasing effect evaluation index and the fracturing implementation effect evaluation index.
To solve the above problems, embodiments of the present disclosure further provide a fracturing effect evaluation apparatus, including: the parameter acquisition module is used for acquiring evaluation parameters, wherein the evaluation parameters comprise fracturing design data, field implementation data, production data and economic cost data; the yield-increasing effect evaluation module is used for calculating and obtaining fracturing yield-increasing effect evaluation indexes according to the production data and the economic cost data; the implementation effect evaluation module is used for determining a fracturing implementation effect evaluation index according to the fracturing design data and the on-site implementation data; and the fracturing effect evaluation module is used for evaluating the fracturing effect according to the fracturing yield increase effect evaluation index and the fracturing implementation effect evaluation index.
As can be seen from the technical solutions provided in the embodiments of the present disclosure, evaluation parameters may be obtained, where the evaluation parameters include fracturing design data, field implementation data, production data, and economic cost data; calculating according to the production data and the economic cost data to obtain a fracturing yield effect evaluation index; determining fracturing implementation effect evaluation indexes according to the fracturing design data and the on-site implementation data; and evaluating the fracturing effect according to the fracturing yield increasing effect evaluation index and the fracturing implementation effect evaluation index. The fracturing effect evaluation method provided by the embodiment of the specification fully considers the influencing factors of the fracturing effect, increases key data such as fracturing design data, field implementation data, production data and economic cost data to evaluate, can fully reflect the legal compliance and the safety and environmental protection in the fracturing implementation process, ensures that the evaluation conclusion is more targeted, scientific, comprehensive and effective, and improves the accuracy of the fracturing effect evaluation.
Drawings
In order to more clearly illustrate the embodiments of the present description or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments described in the present description, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of a method for evaluating a fracturing effect according to an embodiment of the present disclosure;
fig. 2 is a schematic functional block diagram of a fracturing effect evaluation device according to an embodiment of the disclosure.
Detailed Description
The technical solutions of the embodiments of the present specification will be clearly and completely described below with reference to the drawings in the embodiments of the present specification, and it is apparent that the described embodiments are only some embodiments of the present specification, not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are intended to be within the scope of the present disclosure.
The fracturing investment is large, the application implementation effect directly influences the selection of subsequent yield-increasing measures, and the evaluation of the application implementation effect is an important link in the oilfield development process. The conventional fracturing effect evaluation method generally considers two indexes of the yield increase effect and the fracturing effective period after application and implementation, and evaluates the fracturing effect through the two indexes. The yield increasing effect and the fracturing effective period can reflect the quality of the pressure effect to a certain extent, but the situation that the yield increasing effect has long fracturing effective period, but the exploitation difficulty is increased and the exploitation cost is increased can also occur, so that the quality of the pressure effect can not be reflected only by the yield increasing effect and the fracturing effective period. Considering that if the influence factors of the fracturing effect, such as fracturing design data, field implementation data, production data, economic cost data and other key data, are fully considered in the fracturing effect, the problem that the influence of the fracturing effect on oilfield development cannot be reflected in the prior art is hopefully solved, the accuracy of the fracturing effect evaluation is insufficient, and the accuracy of the fracturing effect evaluation is improved.
In this embodiment of the present disclosure, the main body for executing the fracturing effect evaluation method may be an electronic device with a logic operation function, where the electronic device may be a server or a client, and the client may be a desktop computer, a tablet computer, a notebook computer, a workstation, or the like. Of course, the client is not limited to the electronic device with a certain entity, and may be software running in the electronic device. And can also be a program software formed by program development, which can be run in the above-mentioned electronic device.
Fig. 1 is a flowchart of a fracturing effect evaluation method according to an embodiment of the present disclosure. As shown in fig. 1, the fracturing effect evaluation method may include the following steps.
S110: evaluation parameters including fracturing design data, field implementation data, production data, and economic cost data are obtained.
In some embodiments, the evaluation parameters may be factors affecting the fracturing effect, such as fracturing design data, field implementation data, production data, and economic cost data.
In some embodiments, the fracture design data is pre-designed data prior to fracturing, such as design displacement, number of fracture stages, single Duan Yeliang, single stage sand loading, etc.; the on-site implementation data are data acquired on site during fracturing implementation, such as construction displacement, construction section number, actual single-section liquid amount, actual single-section sand adding amount and the like; the production data comprise data capable of representing exploitation effects, such as daily liquid production, daily oil production, water content, daily gas injection/water quantity, injection pressure and the like; the economic cost data includes data capable of characterizing production costs, such as fracturing fluid price, train price, fracturing sand price, crude oil operating costs, and the like.
In some embodiments, the server may obtain the evaluation parameters in any manner. For example, the user may send the evaluation parameters directly to the server, which may receive them; in another example, the electronic device other than the server may send the evaluation parameter to the server, and the server may receive the evaluation parameter, and in this embodiment of the present disclosure, the manner in which the server obtains the evaluation parameter is not limited.
S120: and calculating according to the production data and the economic cost data to obtain the fracturing yield effect evaluation index.
In some embodiments, the fracturing yield increase effect evaluation index is an index capable of representing the fracturing yield increase effect, and specifically may include average daily increase yield after fracturing, fracturing validity period, fracturing yield input ratio and the like. The fracturing effective period is the number of days that the daily output after fracturing is larger than the number of days calculated by the natural progressive rate of the daily output before fracturing at the same time (namely, the time that the daily output after fracturing is larger than the average daily output before fracturing), and the fracturing effective period is the period from the expiration of the fracturing effective period to the time that the daily output is economic output for a well without initial daily output.
In some embodiments, the average daily gain after fracturing may be calculated according to the following steps.
Step 11: the average daily yield before fracturing and the average daily yield after fracturing are determined from the production data.
In some embodiments, the average daily production before fracturing may include average daily oil production before fracturing, average daily gas production before fracturing, average daily water injection before fracturing, average daily steam injection before fracturing, and the like. The average daily production before fracturing can be determined from daily production per day in n days before fracturing:
wherein q dog Represents the average daily yield before fracturing, q bi The daily output of the fracturing fluid is expressed in n days before fracturing, and n is more than or equal to 2. Wherein, to make the value of average daily output after fracturing more accurate, the value of n can be adjusted, for example, take n=30.
In some embodiments, the average daily output after fracturing may include average daily oil output after fracturing, average daily gas output after fracturing, average daily water injection after fracturing, average daily steam injection after fracturing, and the like. The average daily yield after fracturing can be calculated according to the following formula:
wherein q fog Mean daily yield after fracturing, q fi Daily output, t, of each day during the period of validity after fracturing e Represents the effective period of fracturing, p e And the index of the effective period of fracturing is shown.
Step 12: and calculating the average daily gain after fracturing according to the average daily gain before fracturing and the average daily gain after fracturing.
In some embodiments, the average daily gain after fracturing can be calculated according to the following formula:
wherein Δp represents the average daily gain after fracturing.
In some embodiments, the fracture yield input ratio may be calculated according to the following steps.
Step 21: and determining the fracturing cumulative yield increase and the fracturing yield increase value according to the production data.
In some embodiments, the cumulative increase in fracturing may be determined according to the following equation:
ΔN＝N f -N n (4)
wherein Δn represents the cumulative increase in fracturing; n (N) f Representing the accumulated output in the effective period of fracturing; n (N) n And (5) representing the accumulated yield calculated by the natural progressive rate of the daily yield before fracturing in the effective period of fracturing.
In some embodiments, the fracture stimulation yield value may be determined according to the following equation:
V＝P o ×ΔN×β (5)
V＝P o ×ΔN 1 ×β (6)
wherein V represents the fracturing yield increasing value, delta N represents the fracturing accumulated yield increasing value and P o Indicating crude oil price, delta N 1 Indicating the cumulative production increase of the corresponding production well of the injection well, and beta indicates the crude oil density. And determining the fracturing yield increase production value according to the formula (5) during water injection, gas injection or gas injection, and determining the fracturing yield increase production value according to the formula (6) during oil or gas production.
Step 22: and calculating according to the fracturing accumulated yield increase and the fracturing yield increase value to obtain the fracturing yield input ratio.
In some embodiments, the fracture yield input ratio may be calculated according to the following equation:
wherein lambda represents input-output ratio, V represents fracturing yield-increasing value, C f Representing fracturing investment, C d Represents the unit oil production cost, and delta N represents the accumulated increase in fracturing yield.
S130: and determining a fracturing implementation effect evaluation index according to the fracturing design data and the on-site implementation data.
In some embodiments, the fracturing implementation effect evaluation index is an index capable of representing the implementation condition of fracturing, and specifically may include a fracturing total fluid volume compliance rate, a fracturing total sand volume compliance rate, a tubular column program compliance condition, a pumping program compliance condition, a well control condition, an engineering complex condition, and the like.
In some embodiments, the fracturing total fluid volume compliance rate may be obtained from the designed fracturing total fluid volume in the fracturing design data and the actual fracturing total fluid volume in the field implementation data, i.e., the fracturing total fluid volume compliance rate is a ratio of the actual fracturing total fluid volume to the designed fracturing total fluid volume.
In some embodiments, the fracturing total sand amount compliance rate may be obtained from a designed fracturing total sand amount in the fracturing design data and an actual fracturing total sand amount in the field implementation data, i.e., the fracturing total sand amount compliance rate is a ratio of the actual fracturing total sand amount to the designed fracturing total sand amount.
In some embodiments, the well control is kick control or pressure control, and a certain method is required to control the formation pressure, so that the pressure balance in the well is basically maintained, and smooth operation and construction are ensured. Well control conditions are indicative of whether well control events have occurred during the fracturing construction.
In some embodiments, the tubular string program compliance is whether the designed tubular string program is consistent with the actual tubular string program, if so, the tubular string program is in compliance, otherwise, the tubular string program is not in compliance.
In some embodiments, the pumping procedure compliance is whether the design pumping procedure is consistent with the actual pumping procedure, if so, the pumping procedure is consistent, otherwise, the pumping procedure is not consistent.
In some embodiments, the engineering complexity may be the engineering complexity and complexity of the fracturing construction process, and may include abnormally high pressure, sand plugging, pipe clamping, blowout, and the like.
S140: and evaluating the fracturing effect according to the fracturing yield increasing effect evaluation index and the fracturing implementation effect evaluation index.
In the embodiment of the present specification, the fracturing effect may be evaluated by integrating the fracturing yield increase effect evaluation index and the fracturing implementation effect evaluation index. Specifically, the following steps may be included.
S141: and obtaining the fracturing yield increasing effect according to the fracturing yield increasing effect evaluation index.
In some embodiments, the average daily gain after fracturing and the preset gain can be compared, the fracturing effective period and the preset effective period can be compared, the fracturing output input ratio and the preset output input ratio can be compared, and the comparison results of the three can be combined to obtain the fracturing yield increasing effect. Specifically, a score may be given to each comparison result, for example, if the average daily gain after fracturing is greater than the preset gain, then it indicates that the gain after fracturing is more obvious, and a higher score may be given; if the average daily gain after fracturing is smaller than the preset gain but is not zero, the average daily gain after fracturing also has a certain gain, and a lower score can be given; if the average daily gain after fracturing is equal to zero, the average daily gain after fracturing indicates that no gain is increased after fracturing, and zero can be given. The score given for each comparison result may be as shown in table 1.
TABLE 1
A1, b1 and c1 are evaluation full values corresponding to average daily gain yield, fracturing effective period and fracturing yield input ratio after fracturing respectively, and can be formulated according to development, measure and operation requirements, wherein a1+b1+c1=100; q i Indicating a preset yield increase, t i Representing a preset validity period lambda i Representing a preset yield-to-input ratio.
In some embodiments, the scores corresponding to the three comparison results may be added to obtain a comprehensive score of the fracturing yield effect, and the fracturing yield effect may be determined according to the magnitude of the comprehensive score.
S142: and obtaining the fracturing implementation effect according to the fracturing implementation effect evaluation index.
In some embodiments, a score may be given to each of the fracturing implementation effect evaluation indexes according to the fracturing total fluid volume compliance rate, the fracturing total sand volume compliance rate, the tubular column program compliance condition, the pumping program compliance condition, the well control condition, and the engineering complexity condition. For example, if the total fracturing fluid coincidence rate is greater than the maximum value of the preset total fracturing fluid coincidence rate, the total fracturing fluid coincidence rate is higher, and a higher score can be given; if the total liquid amount compliance rate of the fracturing is smaller than the minimum value of the preset total liquid amount compliance rate of the fracturing, the total liquid amount compliance rate of the fracturing is lower, and a lower score can be given; if the total fluid fracturing fluid conforming rate is between the maximum value and the minimum value of the preset total fluid fracturing fluid conforming rate, the total fluid fracturing fluid conforming rate is indicated to be general, and an intermediate value can be given. The case of a specific given score for each item may be as shown in table 2.
TABLE 2
A2, b2, c2, d2 and e2 are respectively the total fracturing fluid conforming rate, the total fracturing sand conforming rate, the tubular column program conforming condition, the pumping program conforming condition and the well control condition evaluation full value, and can be formulated according to the development, measure and operation requirements, wherein a2+b2+c2+d2+e2=100; f (F) r Represents the actual total fracturing fluid quantity, F d Representing the total amount of the designed fracturing fluid, F r /F d Representing the total fracturing fluid conforming rate; s is S r Represents the actual fracturing total sand quantity S d Representing the total sand quantity of the designed fracturing, S r /S d Representing the total sand amount coincidence rate of fracturing; the well control condition indicates that well control accident occurs, and the well control condition indicates that well control accident does not occur.
In some embodiments, the engineering complications may include abnormally high pressures, sand plugs, stuck pipe strings, blowouts, and the like. If this occurs, it will have a negative impact on the fracturing effect and thus a negative score can be given for different situations. Specifically, for abnormal high pressure, the abnormal high pressure in the fracturing process caused by reservoir heterogeneity or process reasons can be avoided in time by reducing the discharge capacity and the sand ratio, and a negative score f2 can be given; for sand blocking, the sand blocking is one of main reasons for fracture failure, but corresponding treatment can be carried out, and a negative value g2 can be given; for the clamping pipe column, the clamping pipe column often leads to overhaul after pressing, the operation cost is increased, the effect after pressing is affected, even the oil well is scrapped, and a negative score h2 can be given; for blowout, the blowout accident caused by unreasonable bearing of a wellhead and a casing is easy to cause great social panic and property loss, and a negative value i2 can be given. Wherein i2< h2< g2< f2<0.
In some embodiments, the score obtained in Table 2 and the negative score in the engineering complications may be added to obtain a comprehensive score for the fracturing effect, and the fracturing yield effect may be determined according to the magnitude of the comprehensive score.
S143: and evaluating the fracturing effect according to the fracturing yield increasing effect and the fracturing implementation effect.
In some embodiments, the comprehensive fracturing effect comprehensive score may be calculated according to the fracturing yield increasing effect and the fracturing implementation effect by a comprehensive weighted average method, and specifically, the comprehensive fracturing effect score may be calculated according to the following formula:
X＝Z×p1+F×p2 (8)
wherein X represents the comprehensive score of the fracturing effect; z represents the evaluation weight of the fracturing yield increase effect, and Z is 0< 1; f represents the evaluation weight of the fracturing implementation effect, 0< F <1; z and F satisfy z+f=1; p1 represents a fracturing yield increasing effect; p2 represents the fracturing effect.
In some embodiments, the fracturing effect may be determined from the fracturing effect composite score. Specifically, the fracturing effect can be classified according to the comprehensive score of the fracturing effect, for example, if the comprehensive score of the fracturing effect is larger than a first preset value, the fracturing effect is good, and the evaluation result is good; if the comprehensive score of the fracturing effect is between the first preset value and the second preset value, the fracturing effect is better, and the evaluation result is better; if the comprehensive score of the fracturing effect is between the second preset value and the third preset value, the fracturing effect is indicated to be general, and the evaluation result is effective; if the comprehensive score of the fracturing effect is smaller than a third preset value, the fracturing effect is poor, and the evaluation result is invalid. The first preset value is larger than the second preset value, and the second preset value is larger than the third preset value.
In some embodiments, as shown in table 3, table 3 gives the results of evaluating the fracturing effect according to the fracturing effect composite score.
TABLE 3 Table 3
Wherein, X represents the comprehensive value of the fracturing effect, A, B, C represents a first preset value, a second preset value and a third preset value respectively. In table 3, only the fracturing effect is divided into 4 levels, but in practical application, the fracturing effect may be divided into 2 levels, 3 levels, 5 levels, and other numbers of levels, which are not limited in the embodiment of the present specification. For the case of dividing different number levels, the number of preset values may be set correspondingly with reference to table 3.
The fracturing effect evaluation method provided by the embodiment of the specification can obtain evaluation parameters, wherein the evaluation parameters comprise fracturing design data, field implementation data, production data and economic cost data; calculating according to the production data and the economic cost data to obtain a fracturing yield effect evaluation index; determining fracturing implementation effect evaluation indexes according to the fracturing design data and the on-site implementation data; and evaluating the fracturing effect according to the fracturing yield increasing effect evaluation index and the fracturing implementation effect evaluation index. The fracturing effect evaluation method provided by the embodiment of the specification fully considers the influencing factors of the fracturing effect, increases key data such as fracturing design data, field implementation data, production data and economic cost data to evaluate, can fully reflect the legal compliance and the safety and environmental protection in the fracturing implementation process, ensures that the evaluation conclusion is more targeted, scientific, comprehensive and effective, and improves the accuracy of the fracturing effect evaluation.
The embodiment of the specification also provides a specific implementation scene for evaluating the fracturing effect of a certain oil production well by using the fracturing effect evaluation method provided by the embodiment of the specification.
In this implementation scenario, the 30 day prior to fracturing production is shown in table 4 for a certain production well.
TABLE 4 Table 4
| Day 1 | 2 days | 3 days | 4 days | Day 5 | 6 days | 7 days | 8 days | Day 9 | 10 days |
| 5.1 | 4.9 | 5.2 | 4.8 | 4.7 | 4.3 | 4.2 | 4.1 | 4.5 | 3.9 |
| 11 days | 12 days | Day 13 | Day 14 | 15Day of the day | 16 days | Day 17 | 18 days | Day 19 | 20 days |
| 2.5 | 2.8 | 2.4 | 2.1 | 2.3 | 2.2 | 2.0 | 1.8 | 1.6 | 1.5 |
| 21 days | Day 22 | 23 days | 24 days | 25 days | 26 days | Day 27 | Day 28 | 29 days | 30 days |
| 1.1 | 1.4 | 1.2 | 0.8 | 0.7 | 0.6 | 0.2 | 0.3 | 0.2 | 0.2 |
The average daily output q before fracturing can be calculated according to the formula (1) dog ＝2.54m 3 /d。
In this implementation scenario, for this production well, the frac lifetime (time of day production greater than average day production before frac) is 200 days, with a frac lifetime index of 100 days. This is not exemplified herein because of the large daily output data per day during the post-fracturing expiration date. The average daily yield q after fracturing can be calculated according to the formula (2) fog ＝10.3m 3 /d。
In this implementation scenario, after determining the average daily output before fracturing and the average daily output after fracturing of the oil well, the average daily output after fracturing Δp=7.7m may be calculated according to equation (3) 3 /d。
In this embodiment, the crude oil density is 0.86t/m 3 Fracturing investment C f Unit oil recovery cost C =500000 yuan d =800 yuan/t, crude price 3000 yuan/t. For the oil recovery well, the fracturing cumulative increment delta N= 667.36m can be calculated according to the formulas (4) - (7) 3 The fracturing yield increasing value v= 2002080 yuan, and the input-output ratio lambda=1.93.
In this embodiment, the evaluation fullness values corresponding to the average daily gain after fracturing, the fracturing validity period, and the fracturing yield input ratio may be set to a1=50, b1=30, and c1=20. Setting the preset increase yield to q i ＝10m 3 /d; setting the preset validity period to t i =200d; setting the preset output input ratio as lambda i ＝1.5。
In this embodiment, it can be determined from Table 1 that the average daily gain after fracturing corresponds to a score of Δq/q i Xa1=38.8, the corresponding score of the effective period of fracturing is b1=30, and the corresponding score of the input ratio of fracturing output is c1=20. The comprehensive value p1=38.8+30+20=88.8 of the fracturing yield increasing effect of the oil well can be calculated according to the value.
In this implementation scenario, the production well fracture design data and field implementation data are shown in table 5.
TABLE 5
In this embodiment, the estimated full values corresponding to the fracturing total fluid volume compliance rate, the fracturing total sand volume compliance rate, the string program compliance condition, the pumping program compliance condition, and the well control condition may be set to a2=20, b2=20, c2=10, d2=10, and e2=40.
In this embodiment, it may be determined according to table 2 that the score corresponding to the total amount of fracturing fluid is a2=20, the score corresponding to the total amount of fracturing sand is b2=20, the score corresponding to the tubular column procedure is c2=10, the score corresponding to the pumping procedure is d2=10, and the score corresponding to the well control is e2=40. In this embodiment, the conditions of abnormally high pressure, sand blockage, pipe clamping column, blowout, etc. are not found, and the negative score is not required, so that the comprehensive score p2=20+20+10+10+40=100 of the fracturing implementation effect of the oil well can be calculated.
In this embodiment, the fracturing stimulation effect evaluation weight may be set to z=0.6 and the fracturing stimulation effect evaluation weight may be set to f=0.4. After the comprehensive score p1 of the fracturing yield increasing effect and the comprehensive score p2 of the fracturing implementation effect of the oil well are obtained, the comprehensive score x= 93.28 of the fracturing effect can be obtained through calculation according to a formula (8).
In this implementation scenario, the fracturing effect of the oil recovery well may be divided into 4 levels, and the first preset value, the second preset value, and the third preset value may be set to a=90, b=80, and c=60. From table 3, it can be seen that the fracturing evaluation results of the oil production well are good.
Referring to fig. 2, the embodiment of the present disclosure further provides a fracturing effect evaluation apparatus, which may specifically include the following structural modules.
A parameter acquisition module 210 for acquiring evaluation parameters including fracturing design data, field implementation data, production data, and economic cost data;
the yield-increasing effect evaluation module 220 is configured to calculate and obtain a fracturing yield-increasing effect evaluation index according to the production data and the economic cost data;
the implementation effect evaluation module 230 is configured to determine a fracturing implementation effect evaluation index according to the fracturing design data and the on-site implementation data;
and the fracturing effect evaluation module 240 is used for evaluating the fracturing effect according to the fracturing yield increase effect evaluation index and the fracturing implementation effect evaluation index.
In some embodiments, the fracturing effect evaluation module 240 may include: the obtaining unit is used for obtaining the fracturing yield effect according to the fracturing yield effect evaluation index; the obtaining unit is used for obtaining the fracturing implementation effect according to the fracturing implementation effect evaluation index; and the evaluation unit is used for evaluating the fracturing effect according to the fracturing yield increasing effect and the fracturing implementation effect.
It should be noted that, in the present specification, each embodiment is described in a progressive manner, and the same or similar parts of each embodiment are referred to each other, and each embodiment mainly describes differences from other embodiments. In particular, for the device embodiments and the apparatus embodiments, since they are substantially similar to the method embodiments, the description is relatively simple, and reference is made to the description of the method embodiments in part.
Those skilled in the art, after reading this specification, will recognize without undue burden that any and all of the embodiments set forth herein can be combined, and that such combinations are within the scope of the disclosure and protection of the present specification.
In the 90 s of the 20 th century, improvements to one technology could clearly be distinguished as improvements in hardware (e.g., improvements to circuit structures such as diodes, transistors, switches, etc.) or software (improvements to the process flow). However, with the development of technology, many improvements of the current method flows can be regarded as direct improvements of hardware circuit structures. Designers almost always obtain corresponding hardware circuit structures by programming improved method flows into hardware circuits. Therefore, an improvement of a method flow cannot be said to be realized by a hardware entity module. For example, a programmable logic device (Programmable Logic Device, PLD) (e.g., field programmable gate array (Field Programmable Gate Array, FPGA)) is an integrated circuit whose logic function is determined by the programming of the device by a user. A designer programs to "integrate" a digital system onto a PLD without requiring the chip manufacturer to design and fabricate application-specific integrated circuit chips. Moreover, nowadays, instead of manually manufacturing integrated circuit chips, such programming is mostly implemented with "logic compiler" software, which is similar to the software compiler used in program development and writing, and the original code before the compiling is also written in a specific programming language, which is called hardware description language (Hardware Description Language, HDL), but HDL is not only one, but a plurality of kinds, such as ABEL (Advanced Boolean Expression Language), AHDL (AlteraHardware Description Language), confluence, CUPL (Cornell University Programming Language), HDCal, JHDL (Java Hardware Description Language), lava, lola, myHDL, PALASM, RHDL (Ruby Hardware Description Language), etc., VHDL (Very-High-Speed Integrated Circuit Hardware Description Language) and Verilog2 are most commonly used at present. It will also be apparent to those skilled in the art that a hardware circuit implementing the logic method flow can be readily obtained by merely slightly programming the method flow into an integrated circuit using several of the hardware description languages described above.
The system, apparatus, module or unit set forth in the above embodiments may be implemented in particular by a computer chip or entity, or by a product having a certain function. One typical implementation is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a cellular telephone, a camera phone, a smart phone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.
From the above description of embodiments, it will be apparent to those skilled in the art that the present description may be implemented in software plus a necessary general purpose hardware platform. Based on this understanding, the technical solution of the present specification may be embodied in essence or a part contributing to the prior art in the form of a software product, which may be stored in a storage medium, such as a ROM/RAM, a magnetic disk, an optical disk, etc., including several instructions to cause a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method described in the embodiments or some parts of the embodiments of the present specification.
In this specification, each embodiment is described in a progressive manner, and identical and similar parts of each embodiment are all referred to each other, and each embodiment mainly describes differences from other embodiments. In particular, for system embodiments, since they are substantially similar to method embodiments, the description is relatively simple, as relevant to see a section of the description of method embodiments.
The specification is operational with numerous general purpose or special purpose computer system environments or configurations. For example: personal computers, server computers, hand-held or portable devices, tablet devices, multiprocessor systems, microprocessor-based systems, set top boxes, programmable consumer electronics, network PCs, minicomputers, mainframe computers, distributed computing environments that include any of the above systems or devices, and the like.
The description may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The specification may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
Although the present specification has been described by way of example, it will be appreciated by those skilled in the art that there are many variations and modifications to the specification without departing from the spirit of the specification, and it is intended that the appended claims encompass such variations and modifications as do not depart from the spirit of the specification.
Claims (7)
1. A method for evaluating fracturing effect, the method comprising:
acquiring evaluation parameters, wherein the evaluation parameters comprise fracturing design data, field implementation data, production data and economic cost data;
calculating a plurality of fracturing yield increase effect evaluation indexes according to the production data and the economic cost data; the fracturing yield increase effect evaluation index comprises at least one of average daily increase yield after fracturing, fracturing effective period and fracturing yield input ratio;
determining a plurality of fracturing implementation effect evaluation indexes according to the fracturing design data and the on-site implementation data; the fracturing implementation effect evaluation index is used for representing the implementation condition of fracturing and the coincidence condition of fracturing design data;
comparing the fracturing yield effect evaluation index with a preset value, and determining a fracturing yield effect value according to a comparison result;
determining a fracturing implementation effect value according to each fracturing implementation effect evaluation index;
and carrying out weighted average on the fracturing yield increasing effect value and the fracturing implementation effect value to obtain a fracturing effect comprehensive score, wherein the fracturing effect comprehensive score is used for evaluating the fracturing effect.
2. The method of claim 1, wherein the average daily gain after fracturing is calculated according to the following equation:
wherein Δq represents the average daily gain, q, after fracturing fog Mean daily yield after fracturing, q dog Represents the average daily yield before fracturing, q bi Daily output, q, of each day in n days before fracturing fi Daily output, t, of each day during the period of validity after fracturing e Represents the effective period of fracturing, p e And the index of the effective period of fracturing is shown.
3. The method of claim 1, wherein the fracture yield input ratio is calculated according to the following equation:
wherein lambda represents input-output ratio, V represents fracturing yield-increasing value, C f Representing fracturing investment, C d Represents the unit oil production cost, and delta N represents the accumulated increase in fracturing yield.
4. A method according to claim 3, wherein the fracture stimulation yield value is calculated according to the following formula:
when water injection, gas injection or steam injection is carried out:
V＝P o ×ΔN×β
during oil or gas extraction:
V＝P o ×ΔN 1 ×β
wherein V represents the fracturing yield increasing value, delta N represents the fracturing accumulated yield increasing value and P o Indicating crude oil price, delta N 1 Indicating the cumulative production increase of the corresponding production well of the injection well, and beta indicates the crude oil density.
5. The method of claim 1, wherein the frac performance evaluation criteria comprises at least one of a frac total fluid volume compliance rate, a frac total sand volume compliance rate, a string procedure compliance, a pump procedure compliance, a well control condition, and an engineering complexity condition.
6. The method of claim 1, wherein weighting the fracturing effect value, and obtaining a fracturing effect composite score comprises:
converting the fracturing yield increasing effect value and the fracturing implementation effect value into fracturing effect comprehensive scores according to the following formula:
X＝Z×p1+F×p2
wherein X represents the comprehensive score of the fracturing effect; z represents the evaluation weight of the fracturing yield increase effect, and Z is more than or equal to 0 and less than or equal to 1; f represents the evaluation weight of the fracturing implementation effect, and F is more than or equal to 0 and less than or equal to 1; p1 represents a fracturing yield increase effect value; p2 represents a fracturing implementation effect value;
and evaluating the fracturing effect according to the magnitude of the comprehensive score of the fracturing effect.
7. A fracturing effect evaluation device, characterized in that the device comprises:
the parameter acquisition module is used for acquiring evaluation parameters, wherein the evaluation parameters comprise fracturing design data, field implementation data, production data and economic cost data;
the yield-increasing effect evaluation module is used for calculating a plurality of fracturing yield-increasing effect evaluation indexes according to the production data and the economic cost data; the fracturing yield increase effect evaluation index comprises at least one of average daily increase yield after fracturing, fracturing effective period and fracturing yield input ratio;
the implementation effect evaluation module is used for determining a plurality of fracturing implementation effect evaluation indexes according to the fracturing design data and the on-site implementation data; the fracturing implementation effect evaluation index is used for representing the implementation condition of fracturing and the coincidence condition of fracturing design data;
the fracturing effect evaluation module is used for comparing the fracturing yield effect evaluation index with a preset value and determining a fracturing yield effect value according to a comparison result; determining a fracturing implementation effect value according to each fracturing implementation effect evaluation index; and carrying out weighted average on the fracturing yield increasing effect value and the fracturing implementation effect value to obtain a fracturing effect comprehensive score, wherein the fracturing effect comprehensive score is used for evaluating the fracturing effect.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106703776A (en) * | 2016-12-23 | 2017-05-24 | 西南石油大学 | Method for optimizing fracturing parameters |
| CN108009716A (en) * | 2017-11-28 | 2018-05-08 | 西南石油大学 | A kind of horizontal well volume fracturing influential effect factor mutiple-stage model method |
| CN108843296A (en) * | 2018-06-25 | 2018-11-20 | 成都北方石油勘探开发技术有限公司 | A kind of individual well refracturing effect prediction method based under multifactor impact |
| CN108959679A (en) * | 2018-03-19 | 2018-12-07 | 中国石油天然气股份有限公司 | A kind of evaluation method and evaluating apparatus of shale gas well fracturing effect |
| CN109711595A (en) * | 2018-09-20 | 2019-05-03 | 西安石油大学 | A kind of hydraulic fracturing operation effect evaluation method based on machine learning |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| US7925482B2 (en) * | 2006-10-13 | 2011-04-12 | Object Reservoir, Inc. | Method and system for modeling and predicting hydraulic fracture performance in hydrocarbon reservoirs |
| US10922454B2 (en) * | 2015-11-02 | 2021-02-16 | Landmark Graphics Corporation | Method and apparatus for fast economic analysis of production of fracture-stimulated wells |
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Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106703776A (en) * | 2016-12-23 | 2017-05-24 | 西南石油大学 | Method for optimizing fracturing parameters |
| CN108009716A (en) * | 2017-11-28 | 2018-05-08 | 西南石油大学 | A kind of horizontal well volume fracturing influential effect factor mutiple-stage model method |
| CN108959679A (en) * | 2018-03-19 | 2018-12-07 | 中国石油天然气股份有限公司 | A kind of evaluation method and evaluating apparatus of shale gas well fracturing effect |
| CN108843296A (en) * | 2018-06-25 | 2018-11-20 | 成都北方石油勘探开发技术有限公司 | A kind of individual well refracturing effect prediction method based under multifactor impact |
| CN109711595A (en) * | 2018-09-20 | 2019-05-03 | 西安石油大学 | A kind of hydraulic fracturing operation effect evaluation method based on machine learning |
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