Unconventional oil reservoir horizontal well development benefit analysis method and device

Abstract

The invention discloses an unconventional oil reservoir horizontal well development benefit analysis method and device, and the method comprises the steps: obtaining production data of a typical well in a research area, and fitting a production curve of the typical well in the research area; extracting geological attributes of deployment wells in the research area and geological attributes of typical wells in the research area from the geological three-dimensional attribute model of the research area; calculating a yield adjustment coefficient according to the horizontal section length and the geological attribute; according to the yield adjustment coefficient and the production curve of the typical well in the research area, predicting the production curve of the deployment well in the research area to obtain the predicted yield of the deployment well in the research area; according to the research area deployment well prediction yield, research area deployment well income data and research area deployment well cost data are calculated; and according to the research area deployment well income data and the research area deployment well cost data, the development benefit of the research area deployment well is analyzed. According to the method, the yield of the unconventional oil reservoir horizontal well can be accurately predicted, and the unconventional oil reservoir horizontal well development benefit analysis efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of oil and gas exploration and development, and in particular to a method and a device for analyzing the benefits of horizontal well development in unconventional oil reservoirs. Background Art

[0002] This section is intended to provide a background or context to the embodiments of the invention recited in the claims. No admission is made that the description herein is prior art by inclusion in this section.

[0003] As energy demand continues to grow, oil and natural gas have become an important part of the energy structure. In oil reservoir development, horizontal well technology has attracted attention because it can increase the production of a single well. Horizontal wells extend horizontally in the reservoir, increasing the contact area with the reservoir, thereby improving the efficiency of oil and gas extraction.

[0004] Production prediction is the key to the design and implementation of technical solutions for exploration and development, and is directly related to the layout of well locations, drilling depth, mining technology selection, and production management strategies. Traditional production prediction methods usually rely on complex numerical simulations of reservoirs. Although these methods can provide relatively accurate results, they are time-consuming, require high computing resources, and require high professional skills of personnel, resulting in low efficiency in the benefit analysis of horizontal well development. Another method of production prediction is the analogy method, which uses the production of wells that have been put into production to predict the production of deployed wells by analogy. However, it is mostly applicable to horizontal wells in conventional oil reservoirs, and the effect is not ideal when applied to horizontal wells in unconventional oil reservoirs, resulting in low accuracy in the benefit analysis of unconventional horizontal well development. Summary of the invention

[0005] The embodiment of the present invention provides a method for analyzing the benefits of horizontal well development in unconventional oil reservoirs, which is used to accurately predict the production of horizontal wells in unconventional oil reservoirs and improve the efficiency of analyzing the benefits of horizontal well development in unconventional oil reservoirs. The method includes:

[0006] Obtain production data of typical wells in the study area and fit the production curves of typical wells in the study area; extract the geological attributes of deployed wells in the study area and the geological attributes of typical wells in the study area from the three-dimensional geological attribute model of the study area; the geological attributes include: geological reserves;

[0007] The production adjustment coefficient is calculated according to the horizontal section length of the wells deployed in the study area, the geological attributes of the wells deployed in the study area, the horizontal section length of the typical wells in the study area, and the geological attributes of the typical wells in the study area; wherein the production adjustment coefficient is used to predict the production curve of the wells deployed in the study area;

[0008] According to the production adjustment coefficient and the production curve of the typical wells in the study area, the production curve of the wells deployed in the study area is predicted; the production curve of the wells deployed in the study area is analyzed to obtain the predicted production of the wells deployed in the study area;

[0009] According to the predicted production of the wells deployed in the study area, the income data and cost data of the wells deployed in the study area are calculated;

[0010] Based on the income data and cost data of the wells deployed in the study area, the development benefits of the wells deployed in the study area are analyzed.

[0011] The embodiment of the present invention further provides a device for analyzing the benefits of horizontal well development in unconventional oil reservoirs, which is used to accurately predict the production of horizontal wells in unconventional oil reservoirs and improve the efficiency of analyzing the benefits of horizontal well development in unconventional oil reservoirs. The device includes:

[0012] The data acquisition module is used to obtain the production data of typical wells in the study area and fit the production curves of typical wells in the study area; extract the geological attributes of the deployed wells in the study area and the geological attributes of the typical wells in the study area from the three-dimensional geological attribute model of the study area; wherein the geological attributes include: geological reserves;

[0013] The production adjustment coefficient calculation module is used to calculate the production adjustment coefficient according to the horizontal section length of the wells deployed in the study area, the geological attributes of the wells deployed in the study area, the horizontal section length of the typical wells in the study area, and the geological attributes of the typical wells in the study area; wherein the production adjustment coefficient is used to predict the production curve of the wells deployed in the study area;

[0014] The production prediction module is used to predict the production curve of the wells deployed in the study area according to the production adjustment coefficient and the production curve of the typical wells in the study area; analyze the production curve of the wells deployed in the study area to obtain the predicted production of the wells deployed in the study area;

[0015] The cost and income calculation module is used to predict the production according to the wells deployed in the study area, and calculate the income data and cost data of the wells deployed in the study area;

[0016] The development benefit evaluation module is used to analyze the development benefits of the wells deployed in the study area based on the income data and cost data of the wells deployed in the study area.

[0017] An embodiment of the present invention also provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the above-mentioned method for analyzing the benefits of horizontal well development in unconventional oil reservoirs when executing the computer program.

[0018] An embodiment of the present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the above-mentioned method for analyzing the benefits of horizontal well development in unconventional oil reservoirs is implemented.

[0019] An embodiment of the present invention further provides a computer program product, which includes a computer program. When the computer program is executed by a processor, the above-mentioned method for analyzing the benefits of horizontal well development in unconventional oil reservoirs is implemented.

[0020] In the prior art, usually: the production of deployed wells is relied on numerical simulation of complex reservoirs, and the efficiency of analyzing the development benefits of deployed wells is low; or the production of deployed wells is simply predicted by analogy with the production of wells that have been put into production, resulting in inaccurate analysis of the development benefits of deployed wells. Compared with the prior art, the embodiment of the present invention calculates the production adjustment coefficient according to the horizontal section length and the geological attributes extracted from the geological three-dimensional attribute model; uses the production adjustment coefficient and the production curve of the typical wells in the study area to predict the production curve of the deployed wells in the study area; and analyzes the production curve of the deployed wells in the study area to obtain the predicted production of the deployed wells in the study area, which can accurately predict the production of the deployed wells in the study area; then calculates the income data and cost data of the deployed wells in the study area according to the predicted production of the deployed wells in the study area; uses the income data and cost data of the deployed wells in the study area to analyze the development benefits of the deployed wells in the study area, thereby improving the efficiency of development benefit analysis. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the prior art descriptions. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. In the drawings:

[0022] Figure 1 Flow chart of the method for analyzing the benefits of horizontal well development in unconventional oil reservoirs in an embodiment of the present invention;

[0023] Figure 2 A line graph showing production data of a typical well in the study area in an embodiment of the present invention;

[0024] Figure 3 A line graph of production data of a typical well in the study area after denoising in an embodiment of the present invention;

[0025] Figure 4 The production curve of a typical well in the study area fitted in the embodiment of the present invention;

[0026] Figure 5 This is an example diagram of the three-dimensional attribute body of geological reserves in the study area in the embodiment of the present invention;

[0027] Figure 6 This is an example diagram of a three-dimensional attribute body of geological reserves controlled by a single well in the study area in an embodiment of the present invention;

[0028] Figure 7 It is a reserve abundance map of the study area in the embodiment of the present invention;

[0029] Figure 8A bar chart of production adjustment coefficients of wells deployed in the study area in an embodiment of the present invention;

[0030] Fig. 9 is the yield prediction curve of different platforms in the embodiment of the present invention;

[0031] Fig.10 It is a schematic diagram of the process of the method for analyzing the benefits of horizontal well development in unconventional oil reservoirs according to an embodiment of the present invention;

[0032] Fig.11 It is a schematic diagram of a device for analyzing the benefits of horizontal well development in unconventional oil reservoirs in an embodiment of the present invention. DETAILED DESCRIPTION

[0033] To make the purpose, technical solution and advantages of the embodiments of the present invention more clear, the embodiments of the present invention are further described in detail below in conjunction with the accompanying drawings. Here, the exemplary embodiments of the present invention and their descriptions are used to explain the present invention, but are not intended to limit the present invention.

[0034] In order to improve the accuracy of production prediction of horizontal wells in unconventional oil reservoirs and the efficiency of benefit analysis of horizontal well development in unconventional oil reservoirs, an embodiment of the present invention proposes a method for benefit analysis of horizontal well development in unconventional oil reservoirs. Figure 1 Flow chart of the method for analyzing the benefits of horizontal well development in unconventional oil reservoirs in an embodiment of the present invention. Figure 1 As shown, the method can be implemented by the following steps:

[0035] Step 101, obtaining production data of typical wells in the study area, fitting the production curves of typical wells in the study area; extracting geological attributes of deployed wells in the study area and geological attributes of typical wells in the study area from the three-dimensional geological attribute model of the study area; wherein the geological attributes include: geological reserves;

[0036] Step 102, calculating the production adjustment coefficient according to the horizontal section length of the wells deployed in the study area, the geological attributes of the wells deployed in the study area, the horizontal section length of the typical wells in the study area, and the geological attributes of the typical wells in the study area; wherein the production adjustment coefficient is used to predict the production curve of the wells deployed in the study area;

[0037] Step 103: predicting the production curve of the deployed wells in the study area according to the production adjustment coefficient and the production curve of the typical wells in the study area; analyzing the production curve of the deployed wells in the study area to obtain the predicted production of the deployed wells in the study area;

[0038] Step 104, calculating the revenue data and cost data of the wells deployed in the study area according to the predicted production of the wells deployed in the study area;

[0039] Step 105: Analyze the development benefits of the wells deployed in the study area based on the income data and cost data of the wells deployed in the study area.

[0040] For horizontal wells in unconventional oil reservoirs with longer horizontal sections and more variable reservoir characteristics, the development benefit analysis method for horizontal wells in unconventional oil reservoirs proposed in the embodiment of the present invention does not simply use the production of the wells that have been put into production to analogically predict the production of the deployed wells, nor does it rely on complex reservoir numerical simulation to deploy the production of the wells. Instead, it adjusts the production curves of the typical wells according to the horizontal section lengths and geological properties of the typical wells and the deployed wells in the same study area, accurately and efficiently predicts the production curves of the deployed wells, thereby obtaining the predicted production of the deployed wells, which is used to analyze the development benefits of the deployed wells.

[0041] In an embodiment of the present invention, production data of typical wells in the study area are obtained, and production curves of typical wells in the study area are fitted; geological attributes of deployed wells in the study area and geological attributes of typical wells in the study area are extracted from the three-dimensional geological attribute model of the study area; wherein the geological attributes include: geological reserves.

[0042] In one embodiment, production data of typical wells in the study area are obtained, and production curves of the typical wells in the study area are fitted, including: obtaining production data of typical wells in the study area, and denoising the production data of the typical wells in the study area; and fitting the production curves of the typical wells in the study area using the denoised production data of the typical wells in the study area according to the Arps decline model.

[0043] When predicting the production of wells deployed in the study area, the production data of typical wells (actual horizontal wells) are denoised, the decline model is determined and the production curve is predicted. Figure 2 It is a line graph of production data of a typical well in the study area in the embodiment of the present invention. Figure 2 The daily oil production line chart of a typical well in the study area from November 6, 2021 to July 2, 2024 is shown, in which the abnormal data points that need to be deleted due to factors such as shut-in due to fracturing of adjacent wells, production time less than 24 hours, sand flushing operations, etc. are circled. For example, a typical well with a long production time (usually more than 3 years) in the study area is selected, and the production data is as follows Figure 2 shown. Figure 3 The denoised production data of a typical well in the study area is a line chart of the denoised production data in the embodiment of the present invention. The denoised production data of the typical well includes: shut-in wells, daily production of less than 24 hours, abnormal production values ​​of just completed operations, etc. The denoised production data is as follows: Figure 3 shown.

[0044] Figure 4is the production curve of the typical well in the study area fitted in the embodiment of the present invention. For example, using the production data of the typical well in the study area after denoising, according to the fitting effect and the estimated single well recoverable reserves (Estimated Ultimate Recovery, EUR), an Arps decline model is selected for fitting to obtain the production curve of the typical well during the evaluation period, and the EUR of the typical well can be calculated based on the production curve. Figure 4 As shown, the red broken line is the production data of the typical well in the study area after denoising, and the blue dotted line is the production curve of the typical well during the evaluation period obtained by fitting.

[0045] In one embodiment, before extracting the geological attributes of deployed wells in the study area and the geological attributes of typical wells in the study area from the geological three-dimensional attribute model of the study area, it also includes: establishing a geological three-dimensional attribute model of the study area; the geological attributes in the geological three-dimensional attribute model include: porosity, permeability, water saturation, and geological reserves.

[0046] Compared with horizontal wells in conventional oil reservoirs, the geological properties of horizontal wells in unconventional oil reservoirs are heterogeneous, and the difficulty of production prediction is also greater. In order to more accurately predict and analyze the production of horizontal wells in unconventional oil reservoirs, the three-dimensional geological attribute values ​​within the well control range of typical wells and deployed wells in the study area are introduced into the production prediction analysis of deployed wells in the study area. For example, a three-dimensional geological attribute model of the study area including geological attributes such as porosity, permeability, water saturation, and geological reserves is established. Figure 5 : is an example diagram of the three-dimensional attribute body of geological reserves in the study area in the embodiment of the present invention. Figure 5 As shown in the figure, the direction indicated by the arrow is due north. Figure 5 Color marking in (unit is 10 4 m 3 ), different colors in the geological 3D model represent the distribution of geological reserves in 3D space. Figure 6 This is an example diagram of the three-dimensional attribute body of geological reserves controlled by a single well in the study area in an embodiment of the present invention. Figure 6 Continue to use Figure 5 The color marking in the figure shows that the direction indicated by the arrow is the true north direction, and the red line represents the wellbore trajectory of the horizontal well. Figure 6 As shown, there are differences in the distribution of geological reserves in three-dimensional space. According to the three-dimensional coordinate data, the three-dimensional geological attribute values ​​within the well control range of typical wells and the three-dimensional geological attribute values ​​within the well control range of deployed wells are extracted.

[0047] Taking a study area as an example, the selected geological attribute is geological reserves. Figure 7 is the reserve abundance diagram of the study area in the embodiment of the present invention, such as Figure 7As shown, there are 39 wells deployed on 9 platforms in the study area. The reserve abundance in different deployment areas is different, while the geological reserves of the deployed wells in the same platform show roughly the same characteristics.

[0048] In an embodiment of the present invention, the production adjustment coefficient is calculated based on the horizontal section length of the wells deployed in the study area, the geological properties of the wells deployed in the study area, the horizontal section length of the typical wells in the study area, and the geological properties of the typical wells in the study area; wherein the production adjustment coefficient is used to predict the production curve of the wells deployed in the study area.

[0049] Generally, the longer the horizontal section of a horizontal well in an oil reservoir, the greater the well-controlled reserves, that is, the higher the EUR of a single well. However, as the length of the horizontal section increases, the reservoir heterogeneity of each reformed section increases, the wellbore friction increases, and the extension of the horizontal section length is not linearly related to the increase in production. Generally, as the length of the horizontal section increases, the increase in production becomes smaller and smaller. In an embodiment of the present invention, a production adjustment coefficient is designed by analyzing the horizontal section length and three-dimensional geological attributes of typical wells and deployed wells. The production curve of an existing typical well is adjusted to conform to the characteristics of the reservoir where other deployed wells are located in the same study area through the production adjustment coefficient that can reflect the horizontal section length and three-dimensional geological attribute information, thereby concisely and efficiently predicting the production curve of the deployed wells in the study area during the evaluation period.

[0050] In one embodiment, the production adjustment coefficient is calculated according to the horizontal section length of the wells deployed in the study area, the geological attributes of the wells deployed in the study area, the horizontal section length of the typical wells in the study area, and the geological attributes of the typical wells in the study area, including: calculating the production adjustment coefficient according to the following formula:

[0051]

[0052] Where γ is the production adjustment coefficient, L tw is the horizontal section length of a typical well in the study area, L new is the horizontal section length of the wells deployed in the study area, A tw is the geological attribute value of a typical well in the study area, A new is the geological attribute value of the wells deployed in the study area, and m is an exponent (m is usually taken as 0.1 to 0.4).

[0053] Taking the four deployed wells of platform 1 in the above study area as an example, Figure 8 The bar chart of the production adjustment coefficients of the deployed wells in the study area in the embodiment of the present invention is shown in Figure 1. The geological reserves within the well control range of the typical wells and the four deployed wells are extracted from the three-dimensional geological attribute model of the study area. Combined with the horizontal section length information of the typical wells and the four deployed wells, the production adjustment coefficients of wells 11, 12, 13, and 14 are calculated by formula (1), as shown in Figure 1. Figure 8 The single well production adjustment coefficient and related parameters of the wells deployed on platform 1 are shown in Table 1.

[0054] Table 1 Single well production adjustment coefficient and related parameters of platform 1 deployment wells

[0055]

[0056]

[0057] In an embodiment of the present invention, the production curve of the deployed wells in the study area is predicted based on the production adjustment coefficient and the production curve of the typical wells in the study area; the production curve of the deployed wells in the study area is analyzed to obtain the predicted production of the deployed wells in the study area.

[0058] In one embodiment, according to the production adjustment coefficient and the production curve of the typical well in the study area, predicting the production curve of the deployed well in the study area includes: predicting the production curve of the deployed well in the study area according to the following formula:

[0059] Q new =γ*Q tw (2)

[0060] In the formula, Q tw is the production curve of a typical well in the study area, Q new It is the predicted production curve of the deployed wells in the study area.

[0061] Fig. 9 is the yield prediction curve of different platforms in the embodiment of the present invention. Fig. 9 As shown, the horizontal axis is time (unit: year) and the vertical axis is annual output (unit: m 3 ), the production curves of the 9 platforms in the above study area are slightly different, which also reflects the differences in geological reserves at the geographical locations of each platform.

[0062] In the embodiment of the present invention, according to the predicted production of the wells deployed in the study area, the income data of the wells deployed in the study area and the cost data of the wells deployed in the study area are calculated.

[0063] For example, based on the predicted production of the deployed wells (or platforms), the revenue data of crude oil sales of the deployed wells (or platforms) during the evaluation period is calculated according to formula (3):

[0064] Rev o (t) = Q new (t)×P o (t) (3)

[0065] Where t is the number of years of the evaluation period, Rev o (t) is the crude oil sales revenue of the deployed well (or platform) in the tth year, Q new (t) is the annual crude oil production in year t, P o (t) is the crude oil price in year t.

[0066] For example, considering the capital expenditure and production and operation expenditure spent on deploying wells (or platforms), calculate the cost data of deploying wells (or platforms) during the evaluation period. According to formula (4), calculate the production and operation expenditure data:

[0067]

[0068] Where i is the number of the deployed well, OE(t) is the production and operation expenditure in the tth year, and E ow (t) is the cost of oil and water lifting, handling, transportation, and personnel operation in year t, E df (t) is the liquid disposal cost in year t, E of (t) is the other fixed cost of production in year t.

[0069] For example, according to the platform cost of the deployed wells during the evaluation period, the well construction cost of the deployed wells and the well transformation cost of the deployed wells, the capital expenditure data is calculated according to formula (5):

[0070]

[0071] Where CE(t) is the capital expenditure in year t, E pad (t) is the platform cost in year t, E well(i) (t) is the single well basic cost of the deployed well in year t, E wcon(i) (t) is the single well construction cost of the deployed well in year t, E wstim(i) (t) is the single-well transformation cost of the deployed well in year t.

[0072] According to the capital expenditure of the deployed wells (or platforms) and the oil and gas production and operation expenditure during the evaluation period, the cost data of the deployed wells (or platforms) during the evaluation period are obtained:

[0073] TE(t)=CE(t)+OE(t) (6)

[0074] Where TE(t) is the deployment well (or platform) cost data in year t.

[0075] For example, the single-well cost data and revenue data of the platform 1 deployed wells in the study area are calculated, and the relevant parameters are shown in Table 2.

[0076] Table 2 Related parameters for calculating cost data and revenue data of single wells deployed on platform 1

[0077]

[0078]

[0079] In an embodiment of the present invention, the development benefits of the wells deployed in the study area are analyzed based on the income data of the wells deployed in the study area and the cost data of the wells deployed in the study area. In some embodiments, the net present value (NPV) and the payback period (P t ), Internal Rate of Return (IRR), which is used to analyze the development benefits of deployed wells. The calculation formula is as follows:

[0080]

[0081] Where NI(t) is the platform net cash flow in year t, n is the total number of years in the evaluation period, and DF is the discount factor.

[0082]

[0083] Where T is the year when the cumulative net cash flows of the development project with deployed wells become positive for the first time.

[0084]

[0085] For example, the cost and income data of platform 1 in the study area are calculated, see Table 3.

[0086] Table 3 Platform 1 production, cost data, and revenue data

[0087]

[0088] For example, the development benefits of the nine platforms in the study area are analyzed, and the statistical data are shown in Table 4.

[0089] Table 4 Deployment platform development benefit analysis statistics

[0090]

[0091] Fig.10 FIG. 1 is a flow chart of a method for analyzing the benefits of horizontal well development in unconventional oil reservoirs according to an embodiment of the present invention. Fig.10As shown, firstly, the production curve of the typical well is obtained by inputting the production data of the typical well, preprocessing the data, and determining the decline type of the production curve. According to the three steps of the three-dimensional geological attributes of the area where the well to be analyzed and the typical well are located, and the horizontal well lengths of the two, the production adjustment coefficient is designed. The production curve of the typical well is adjusted by using the production adjustment coefficient to predict the production of the well to be analyzed. According to the predicted production of the well to be analyzed, the income data of the well to be analyzed is calculated. According to the predicted production of the well to be analyzed, the operating expenditure is calculated. According to the cost information of both capital expenditure and operating expenditure, the cost data of the well to be analyzed is calculated. According to the cost data and income data of the well to be analyzed, the development benefit analysis results are obtained.

[0092] The present invention also provides an unconventional oil reservoir horizontal well development benefit analysis device, as described in the following embodiments. Since the principle of solving the problem by the device is similar to the unconventional oil reservoir horizontal well development benefit analysis method, the implementation of the device can refer to the implementation of the unconventional oil reservoir horizontal well development benefit analysis method, and the repeated parts will not be repeated.

[0093] Fig.11 Schematic diagram of the benefit analysis device for horizontal well development in unconventional oil reservoirs according to an embodiment of the present invention. Fig.11 As shown, the unconventional oil reservoir horizontal well development benefit analysis device includes:

[0094] The data acquisition module 1101 is used to acquire production data of typical wells in the study area and fit the production curves of typical wells in the study area; extract the geological attributes of the deployed wells in the study area and the geological attributes of the typical wells in the study area from the three-dimensional geological attribute model of the study area; wherein the geological attributes include: geological reserves;

[0095] The production adjustment coefficient calculation module 1102 is used to calculate the production adjustment coefficient according to the horizontal section length of the wells deployed in the study area, the geological attributes of the wells deployed in the study area, the horizontal section length of the typical wells in the study area, and the geological attributes of the typical wells in the study area; wherein the production adjustment coefficient is used to predict the production curve of the wells deployed in the study area;

[0096] The production prediction module 1103 is used to predict the production curve of the deployed wells in the study area according to the production adjustment coefficient and the production curve of the typical wells in the study area; analyze the production curve of the deployed wells in the study area to obtain the predicted production of the deployed wells in the study area;

[0097] The cost and income calculation module 1104 is used to calculate the income data and cost data of the wells deployed in the study area according to the production forecast of the wells deployed in the study area;

[0098] The development benefit evaluation module 1105 is used to analyze the development benefits of the wells deployed in the study area based on the income data of the wells deployed in the study area and the cost data of the wells deployed in the study area.

[0099] In one embodiment, the production adjustment coefficient calculation module 1102 is specifically used to calculate the production adjustment coefficient according to the following formula:

[0100]

[0101] Where γ is the output adjustment coefficient, L tw is the horizontal section length of a typical well in the study area, L new is the horizontal length of the wells deployed in the study area, A tw is the geological attribute value of a typical well in the study area, A new is the geological attribute value of the deployed wells in the study area, and m is an exponent.

[0102] In one embodiment, the production prediction module 1103 is specifically used to predict the production curve of the deployed wells in the study area according to the following formula:

[0103] Q new =γ*Q tw

[0104] In the formula, Q tw is the production curve of a typical well in the study area, Q new It is the predicted production curve of the deployed wells in the study area.

[0105] In one embodiment, the data acquisition module 1101 is specifically used to:

[0106] Obtain production data of typical wells in the study area and perform denoising on the production data of typical wells in the study area;

[0107] According to the Arps decline model, the production curves of typical wells in the study area are fitted using the denoised production data of typical wells in the study area.

[0108] In one embodiment, the data acquisition module 1101 is further used to:

[0109] A three-dimensional geological attribute model of the study area is established; the geological attributes in the three-dimensional geological attribute model include: porosity, permeability, water saturation, and geological reserves.

[0110] An embodiment of the present invention also provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the above-mentioned method for analyzing the benefits of horizontal well development in unconventional oil reservoirs when executing the computer program.

[0111] An embodiment of the present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the above-mentioned method for analyzing the benefits of horizontal well development in unconventional oil reservoirs is implemented.

[0112] An embodiment of the present invention further provides a computer program product, which includes a computer program. When the computer program is executed by a processor, the above-mentioned method for analyzing the benefits of horizontal well development in unconventional oil reservoirs is implemented.

[0113] In an embodiment of the present invention, production data of typical wells in a study area are obtained, and production curves of typical wells in the study area are fitted; geological attributes of deployed wells in the study area and geological attributes of typical wells in the study area are extracted from a three-dimensional geological attribute model of the study area; wherein the geological attributes include: geological reserves; production adjustment coefficients are calculated based on the horizontal section lengths of deployed wells in the study area, the geological attributes of deployed wells in the study area, the horizontal section lengths of typical wells in the study area, and the geological attributes of typical wells in the study area; wherein the production adjustment coefficients are used to predict production curves of deployed wells in the study area; production curves of deployed wells in the study area are predicted based on the production adjustment coefficients and production curves of typical wells in the study area; production curves of deployed wells in the study area are analyzed to obtain predicted production of deployed wells in the study area; income data of deployed wells in the study area and cost data of deployed wells in the study area are calculated based on the predicted production of deployed wells in the study area; and development benefits of deployed wells in the study area are analyzed based on the income data of deployed wells in the study area and cost data of deployed wells in the study area. Compared with the prior art which relies on complex reservoir numerical simulation to deploy well production and has low efficiency in analyzing the development benefit of deployed wells; or simply uses the production of already produced wells to analogically predict the production of deployed wells, resulting in inaccurate analysis of the development benefit of deployed wells, the embodiments of the present invention calculate the production adjustment coefficient according to the horizontal section length and the geological attributes extracted from the geological three-dimensional attribute model; uses the production adjustment coefficient and the production curves of typical wells in the study area to predict the production curves of the deployed wells in the study area; and analyzes the production curves of the deployed wells in the study area to obtain the predicted production of the deployed wells in the study area, which can accurately predict the production of the deployed wells in the study area; then calculates the income data and cost data of the deployed wells in the study area based on the predicted production of the deployed wells in the study area; uses the income data and cost data of the deployed wells in the study area to analyze the development benefit of the deployed wells in the study area, thereby improving the efficiency of development benefit analysis.

[0114] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0115] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0116] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0117] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0118] The specific embodiments described above further illustrate the objectives, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above description is only a specific embodiment of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for analyzing the benefits of horizontal well development in unconventional oil reservoirs, characterized in that: include: Obtain production data of typical wells in the study area and fit the production curves of typical wells in the study area; From the three-dimensional geological attribute model of the study area, the geological attributes of the deployed wells and the geological attributes of the typical wells in the study area are extracted; wherein the geological attributes include: geological reserves; The production adjustment coefficient is calculated according to the horizontal section length of the wells deployed in the study area, the geological attributes of the wells deployed in the study area, the horizontal section length of the typical wells in the study area, and the geological attributes of the typical wells in the study area; wherein the production adjustment coefficient is used to predict the production curve of the wells deployed in the study area; According to the production adjustment coefficient and the production curve of the typical wells in the study area, the production curve of the wells deployed in the study area is predicted; the production curve of the wells deployed in the study area is analyzed to obtain the predicted production of the wells deployed in the study area; According to the predicted production of the wells deployed in the study area, the revenue data and cost data of the wells deployed in the study area are calculated; Based on the income data and cost data of the wells deployed in the study area, the development benefits of the wells deployed in the study area are analyzed.

2. The method according to claim 1, characterized in that The production adjustment coefficient is calculated according to the horizontal section length of the wells deployed in the study area, the geological attributes of the wells deployed in the study area, the horizontal section length of the typical wells in the study area, and the geological attributes of the typical wells in the study area, including: the production adjustment coefficient is calculated according to the following formula: Where γ is the production adjustment coefficient, L tw is the horizontal section length of a typical well in the study area, L new is the horizontal length of the wells deployed in the study area, A tw is the geological attribute value of a typical well in the study area, A new is the geological attribute value of the deployed wells in the study area, and m is an exponent.

3. The method according to claim 2, characterized in that According to the production adjustment coefficient and the production curve of the typical well in the study area, the production curve of the deployed well in the study area is predicted, including: predicting the production curve of the deployed well in the study area according to the following formula: Q new =γ*Q tw In the formula, Q tw is the production curve of a typical well in the study area, Q new It is the predicted production curve of the deployed wells in the study area.

4. The method according to claim 1, characterized in that Obtain production data of typical wells in the study area and fit the production curves of typical wells in the study area, including: Obtain production data of typical wells in the study area and perform denoising on the production data of typical wells in the study area; According to the Arps decline model, the production curves of typical wells in the study area are fitted using the denoised production data of typical wells in the study area.

5. The method according to claim 1, characterized in that Before extracting the geological attributes of the deployed wells and the geological attributes of the typical wells in the study area from the three-dimensional geological attribute model of the study area, it also includes: A three-dimensional geological attribute model of the study area is established; the geological attributes in the three-dimensional geological attribute model include: porosity, permeability, water saturation, and geological reserves.

6. An unconventional oil reservoir horizontal well development benefit analysis device, characterized in that: include: A data acquisition module is used to obtain production data of typical wells in the study area and fit the production curves of typical wells in the study area; From the three-dimensional geological attribute model of the study area, the geological attributes of the deployed wells and the geological attributes of the typical wells in the study area are extracted; wherein the geological attributes include: geological reserves; The production adjustment coefficient calculation module is used to calculate the production adjustment coefficient according to the horizontal section length of the wells deployed in the study area, the geological attributes of the wells deployed in the study area, the horizontal section length of the typical wells in the study area, and the geological attributes of the typical wells in the study area; wherein the production adjustment coefficient is used to predict the production curve of the wells deployed in the study area; The production prediction module is used to predict the production curve of the deployed wells in the study area according to the production adjustment coefficient and the production curve of the typical wells in the study area; analyze the production curve of the deployed wells in the study area to obtain the predicted production of the deployed wells in the study area; The cost and income calculation module is used to predict the production according to the wells deployed in the study area, and calculate the income data and cost data of the wells deployed in the study area; The development benefit evaluation module is used to analyze the development benefits of the wells deployed in the study area based on the income data and cost data of the wells deployed in the study area.

7. The device according to claim 6, characterized in that The production adjustment coefficient calculation module is specifically used to calculate the production adjustment coefficient according to the following formula: Where γ is the production adjustment coefficient, L tw is the horizontal section length of a typical well in the study area, L new is the horizontal length of the wells deployed in the study area, A tw is the geological attribute value of a typical well in the study area, A new is the geological attribute value of the deployed wells in the study area, and m is an exponent.

8. The device according to claim 7, characterized in that The production prediction module is specifically used to predict the production curve of the wells deployed in the study area according to the following formula: Q new =γ*Q tw In the formula, Q tw is the production curve of a typical well in the study area, Q new It is the predicted production curve of the deployed wells in the study area.

9. The device according to claim 6, characterized in that The data acquisition module is specifically used for: Obtain production data of typical wells in the study area and perform denoising on the production data of typical wells in the study area; According to the Arps decline model, the production curves of typical wells in the study area are fitted using the denoised production data of typical wells in the study area.

10. The device according to claim 6, characterized in that The data acquisition module is also used to: A three-dimensional geological attribute model of the study area is established; the geological attributes in the three-dimensional geological attribute model include: porosity, permeability, water saturation, and geological reserves.

11. A computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the method according to any one of claims 1 to 5 is implemented.

12. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method according to any one of claims 1 to 5 is implemented.

13. A computer program product, characterized in that The computer program product comprises a computer program, and when the computer program is executed by a processor, the method according to any one of claims 1 to 5 is implemented.

Images