Method for automatically judging production state of shale gas well influenced by fracturing

Abstract

The invention relates to the technical field of shale gas exploitation, and discloses a method for automatically judging the production state of a shale gas well influenced by fracturing, which comprises the following steps of: acquiring production data of a target single well reference period by taking the first 30 days of a fracturing influence starting date as the reference period, and calculating the daily average yield and the production time rate of the target single well reference period; a sliding window with the fixed length of 30 slides backwards from the starting date of fracturing influence, the average daily yield and the production time rate of the sliding window are calculated, and the sliding step length is 1; if yes, outputting the first day of the sliding window as the date of the first day of fracturing influence recovery; if not, continuing to slide the window; the technical problems that an existing method for evaluating the recovery condition of an adjacent well after being affected by fracturing is not unified, and accuracy and efficiency are low are solved.

Description

Technical Field

[0001] The present invention relates to the technical field of shale gas exploitation, and particularly relates to an automatic judgment method for the production state of a shale gas well after being affected by hydraulic fracturing. Background Art

[0002] In the field of oil and gas field development, the efficient development of shale gas wells has always been the focus of the industry. During the development process of shale gas wells, adjacent well hydraulic fracturing operations, as a common and key means to increase production, are widely used in actual production. Through hydraulic fracturing operations, the permeability of the reservoir can be effectively improved, the productivity of gas wells can be increased, and thus the economic benefits of the entire oil and gas field can be enhanced. However, hydraulic fracturing operations are not without drawbacks. During their implementation, they will have a significant impact on adjacent gas wells, resulting in complex changes in the production states of adjacent wells, such as production fluctuations, pressure anomalies, etc.

[0003] Accurately judging the recovery date of adjacent wells after being affected by hydraulic fracturing is crucial for reasonably arranging production plans, optimizing resource allocation, and ensuring the stable production of oil and gas fields. However, in existing technologies, judging the recovery date of adjacent wells after being affected by hydraulic fracturing mainly relies on manual observation and analysis of production reports. Specifically, during operation, operators need to regularly collect production data of adjacent wells, such as production volume, pressure, temperature, etc., and analyze these data based on their own experience, so as to judge the production recovery situation of adjacent wells and estimate the recovery date.

[0004] This manual judgment highly depends on the experience of operators. Operators with different experience levels may have significant differences in the interpretation of the same set of production data. The lack of a unified and objective judgment standard makes the judgment results highly subjective and uncertain, and it is difficult to ensure the accuracy and reliability of the judgment. Traditional judgment methods require operators to spend a large amount of time and effort collecting, sorting, and analyzing production data. In the face of a large number of adjacent wells and complex production data, the speed and efficiency of manual processing are extremely low, and it is impossible to quickly and accurately evaluate the production recovery situation of adjacent fractured wells, making it difficult to meet the requirements for the timeliness of production decisions during the development process of oil and gas fields. Due to the imprecision of the evaluation method, it may lead to misjudgments of the production recovery situation of adjacent wells. If it is prematurely considered that an adjacent well has resumed production and too many resources are invested, it will cause waste of resources; if the recovery of an adjacent well is judged too late, it will lead to delays in production plans, reduced production efficiency, and thus affect the development progress and economic benefits of the entire oil and gas field. Summary of the Invention

[0005] The present invention aims to provide an automatic judgment method for the production state of a shale gas well after being affected by hydraulic fracturing, so as to solve the technical problems that the existing methods for evaluating the recovery situation of adjacent wells after being affected by hydraulic fracturing are not unified, and their accuracy and efficiency are relatively low.

[0006] To achieve the above object, the present invention adopts the following technical solution: An automatic judgment method for the production state of a shale gas well affected by fracturing, comprising: Taking the 30 days before the start date of the fracturing impact as the reference period, obtaining the production data of the target single well during the reference period, and calculating the daily average production and production time rate of the target single well during the reference period; A sliding window with a fixed length of 30 slides backward from the start date of the fracturing impact, calculating the daily average production and production time rate of the sliding window, with a sliding step of 1; Judging whether the production time rate of the sliding window is greater than or equal to the production time rate of the target single well during the reference period. If so, output the first day of the sliding window as the first day date when the fracturing impact is restored; if not, continue with the sliding window.

[0007] The principle and advantages of this solution are: Utilizing the sliding window technology, automatically conducting dynamic analysis on the production data of the target single well, eliminating the need for manual daily observation and analysis of production reports, greatly reducing the manual workload, and avoiding the subjectivity and uncertainty of manual judgment. The sliding window slides backward with a fixed length and step, capable of capturing the changing trend of production data in real time and dynamically evaluating the production recovery of adjacent wells. Compared with traditional manual static analysis methods, it can more accurately judge the fracturing impact recovery date and improve the judgment efficiency at the same time. From the daily average production of the target single well during the reference period, the production situation comparison before and after the fracturing impact can be analyzed. When the production after the fracturing impact increases compared with that before the impact, this fracturing impact is a positive impact; when the production after the fracturing impact decreases compared with that before the impact, this fracturing impact is a negative impact.

[0008] Through an automated data processing and dynamic evaluation mechanism, it can quickly and accurately determine the fracturing impact recovery date of adjacent wells, providing a reliable basis for production decision-making. Reducing the workload of manual observation and analysis of production reports, there is no need for daily ledger recording and manual tracking in the future, reducing labor costs. At the same time, it avoids production delays caused by human judgment errors and improves production efficiency. It realizes real-time monitoring and automatic evaluation of the production state of adjacent wells, providing a more scientific and efficient means for the production management of shale gas wells and enhancing the intelligent level of production management.

[0009] Preferably, as an improvement, obtaining the historical production daily report data of the target single well, using string matching to check whether the words "fracturing impact well shut-in" are continuously contained in the historical production daily report, and taking the first day of this continuous date as the start date of the fracturing impact.

[0010] The beneficial effect of this improvement is: It realizes the automatic identification of the start date of the fracturing impact, avoiding the subjectivity and error of manually determining the start date, improving the accuracy and efficiency of data acquisition, and providing a reliable basis for subsequent production state judgment.

[0011] Preferably, as an improvement, when the production rate of the sliding window is less than that of the reference period, its production status is judged; when the production rate of the sliding window is equal to 0, the current target single well is in the state of shutting in for pressure recovery; when the production rate of the sliding window is greater than 0, the previous target single well is in the state of measure for resuming production.

[0012] The beneficial effect of this improvement is that it can more precisely judge the production status of adjacent wells after fracturing impact. It not only determines the recovery date of the fracturing impact but also differentiates between the state of shutting in for pressure recovery and the state of measure for resuming production, providing more abundant information for production decision-making and contributing to the rational arrangement of production plans and resource allocation.

[0013] Preferably, as an improvement, the calculation formula of the production rate R is the ratio of the actual cumulative production hours within the interval to the total hours of the interval.

[0014] The beneficial effect of this improvement is that it clarifies the calculation method of the production rate, making the calculation of the production rate more accurate and standardized. The production rate is one of the important indicators for judging the production status of adjacent wells, and accurate calculation of the production rate helps to improve the accuracy and reliability of production status judgment. Brief Description of the Drawings

[0015] Figure 1 It is a flowchart for judging the fracturing impact recovery date according to an embodiment of the present invention.

[0016] Figure 2 It is a production status judgment diagram after fracturing impact according to an embodiment of the present invention. Detailed Description of the Invention

[0017] The following is a further detailed description through specific embodiments: Embodiment Basically as shown in the attached Figure 1 A method for automatically judging the production status of a shale gas well after being affected by fracturing includes the following steps: S1. Obtain the historical production daily report data of the target single well, and use string matching to check whether the words "shut in due to fracturing impact" are continuously contained in the historical production daily report. The first day of this continuous date is taken as the start date n of the fracturing impact; The "shut in due to fracturing impact" in the production daily report is filled in the production daily report by the operator according to the actual production situation of the day.

[0018] S2. Take the 30 days before the start date n of the fracturing impact as the reference period, that is, from the (n - 1)th day to the (n - 30)th day without including the start date n of the fracturing impact. Obtain the production data of the target single well in the reference period and calculate the average daily production and the production rate ; S3. A sliding window with a fixed length of 30 slides backward from the start date n of the fracturing impact to calculate the average daily production of the sliding window and the production time ratio , with a sliding step of 1, and define the date of the first day of the sliding window as d; S4. Determine the production time ratio of the sliding window whether it is greater than or equal to the production time ratio of the reference period of the target single well , if so, output d as the date of the first day of the fracturing impact recovery; if not, continue to slide the window; As shown in the appendix Figure 2 , when the production time ratio of the sliding window is less than the production time ratio of the reference period , then judge its production status; when the production time ratio of the sliding window is equal to 0, the current target single well is in the state of shutting in for pressure recovery; when the production time ratio of the sliding window is greater than 0, the previous target single well is in the state of resuming production after measures.

[0019] Among them, the calculation of the production time ratio R is: .

[0020] For example, calculate the production time ratio of a well from April 10th to April 15th, and the well only produced for 12 hours every day during this period, then its production time ratio R = (12 * 6) / (24 * 6) = 0.5.

[0021] The above are only the embodiments of the present invention. Specific technical solutions and / or common knowledge such as characteristics well known in the art are not described in detail herein. It should be noted that for those skilled in the art, without departing from the technical solution of the present invention, several deformations and improvements can be made, and these should also be regarded as the protection scope of the present invention, and these will not affect the implementation effect of the present invention and the practicality of the patent. The protection scope required by this application should be based on the content of its claims, and the specific implementation manners described in the specification can be used to interpret the content of the claims.

Claims

1. An automatic judgment method for the production state of a shale gas well after being affected by hydraulic fracturing, characterized in that, Including: Taking the 30 days before the start date of the fracturing impact as the reference period, obtaining the production data of the target single well during the reference period, and calculating the average daily production and production time rate of the target single well during the reference period; A sliding window with a fixed length of 30 slides backward from the start date of the fracturing impact, calculating the average daily production and production time rate of the sliding window, with a sliding step of 1; Judging whether the production time rate of the sliding window is greater than or equal to the production time rate of the target single well during the reference period. If so, output the first day of the sliding window as the first day of the fracturing impact recovery date; if not, continue with the sliding window.

2. The automatic judgment method for the production state of a shale gas well affected by hydraulic fracturing according to claim 1, wherein: Obtaining the historical daily production report data of the target single well, and using string matching to check whether the phrase "fracturing impact well shut-in" continuously appears in the historical daily production report. The first day of this continuous date is taken as the start date of the fracturing impact.

3. The automatic judgment method for the production state of a shale gas well affected by hydraulic fracturing according to claim 2, wherein: When the production time rate of the sliding window is less than the production time rate of the reference period, judge its production status; when the production time rate of the sliding window is equal to 0, the current target single well is in the well shut-in and pressure recovery state; when the production time rate of the sliding window is greater than 0, the previous target single well is in the state of measure for production resumption.

4. The automatic judgment method for the production state of a shale gas well affected by hydraulic fracturing according to claim 3, wherein The calculation formula for the production time rate R is the ratio of the actual cumulative production hours within the interval to the total hours of the interval.

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