Well selection method and device based on refracturing, storage medium and electronic equipment

Abstract

The invention relates to a well selection method and device based on refracturing, a storage medium and electronic equipment, the well selection method based on refracturing comprises the steps that multi-dimensional data of each fractured well in a target block is acquired, and the multi-dimensional data comprises development dimension data, geological dimension data and engineering dimension data; based on the development dimension data and a preset development well selection strategy, development well selection is carried out, and a preliminary refracturing target well is obtained; on the basis of the geological dimension data and a preset geological well selection strategy, a re-screening refracturing target well is obtained from the preliminary refracturing target wells; and on the basis of the engineering dimension data and a preset engineering well selection strategy, obtaining a refracturing target well from the re-screened refracturing target wells. And the to-be-transformed fractured well can be preferably selected, so that the fracturing effect of the to-be-transformed fractured well is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of oil and gas field reconstruction, and in particular to a well selection method and device based on repeated fracturing, a storage medium and an electronic device. BACKGROUND

[0002] Low-permeability sandstone reservoirs generally have the characteristics of strong heterogeneity, many layers, thin layers, and low natural productivity, and need to be reconstructed by fracturing methods to improve single-well (single-well) production and stable production effective period. However, after a period of production, the fracturing wells using fracturing methods will gradually have the problem of gradually decreasing production and oil production rate, which seriously affects the development effect of the oil well. Therefore, repeated fracturing reconstruction of these fracturing wells is an effective means to treat low-yield and low-efficiency fracturing oil wells.

[0003] Before implementing repeated fracturing reconstruction, it is necessary to evaluate the repeated fracturing stimulation potential of candidate fracturing oil wells in the research area, so as to select the fracturing wells with greater potential from the candidate fracturing oil wells for repeated fracturing, that is, to re-deploy fracturing parameters for the fracturing wells with rapidly decreasing production and oil production rate, and thus to improve the fracturing effect. There are many factors affecting the effect of repeated fracturing, mainly including the scale of previous fracturing reconstruction, the degree of recovery, the water cut, and the like, and there is interaction between the factors. Therefore, comprehensive evaluation of these factors to select the fracturing wells to be reconstructed is very important for well selection (selection of repeated fracturing wells) based on repeated fracturing. SUMMARY

[0004] Therefore, the present application provides a well selection method and device based on repeated fracturing, a storage medium and an electronic device.

[0005] Specifically, the present application is implemented by the following technical solutions:

[0006] According to a first aspect of the present application, a well selection method based on repeated fracturing is provided, and the well selection method based on repeated fracturing comprises:

[0007] acquiring multi-dimensional data of each fracturing well in a target block, the multi-dimensional data comprising development dimension data, geological dimension data, and engineering dimension data;

[0008] performing development well selection based on the development dimension data and a pre-set development well selection strategy to obtain a preliminary repeated fracturing target well;

[0009] obtaining a complex repeated fracturing target well from the preliminary repeated fracturing target well based on the geological dimension data and a pre-set geological well selection strategy;

[0010] Based on the engineering dimension data and a pre-set engineering well selection strategy, a repeated fracturing target well is obtained from the repeatedly screened repeated fracturing target well.

[0011] The well selection method based on repeated fracturing in the technical solution selects wells layer by layer in a progressive manner through development well selection, geological well selection and engineering well selection, and finally selects a measure well in a target block that can implement a repeated fracturing process, that is, a fracturing well to be transformed for repeated fracturing is selected from the measure well, so that the fracturing effect of the measure well can be effectively improved.

[0012] According to a second aspect of the present application, a well selection device based on repeated fracturing is provided, and the well selection device based on repeated fracturing comprises:

[0013] A multi-dimension data acquisition module is configured to acquire multi-dimension data of each fracturing well in a target block, and the multi-dimension data comprises development dimension data, geological dimension data and engineering dimension data.

[0014] A development well selection module is configured to perform development well selection based on the development dimension data and a pre-set development well selection strategy, and to obtain a preliminary repeated fracturing target well.

[0015] A geological well selection module is configured to obtain a repeatedly screened repeated fracturing target well from the preliminary repeated fracturing target well based on the geological dimension data and a pre-set geological well selection strategy.

[0016] An engineering well selection module is configured to obtain a repeated fracturing target well from the repeatedly screened repeated fracturing target well based on the engineering dimension data and a pre-set engineering well selection strategy.

[0017] According to a third aspect of the present application, a storage medium is provided, and the storage medium stores a computer program. When the program is executed by a processor, the steps of the well selection method based on repeated fracturing in any possible implementation manner of the first aspect are implemented.

[0018] According to a fourth aspect of the present application, an electronic device is provided, and the electronic device comprises a memory, a processor and a computer program stored in the memory and executable on the processor. When the processor executes the program, the steps of the well selection method based on repeated fracturing in any possible implementation manner of the first aspect are implemented. BRIEF DESCRIPTION OF DRAWINGS

[0019] The accompanying drawings, which are incorporated in and constitute a part of the specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the application.

[0020] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed to be used in the embodiments or the related description will be briefly introduced. Obviously, for those of ordinary skill in the art, other drawings can be obtained based on these drawings without any creative effort.

[0021] Figure 1 A flowchart of a well selection method based on repeated fracturing provided by the embodiment of the present application is shown in the figure.

[0022] Figure 2 A flowchart of step S102 in the well selection method based on repeated fracturing provided by the embodiment of the present application is shown in the figure.

[0023] Figure 3 A well selection device based on repeated fracturing provided by the embodiment of the present application is shown in the figure.

[0024] Figure 4 A structure diagram of an electronic device provided by the embodiment of the present application is shown in the figure. DETAILED DESCRIPTION

[0025] In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are a part of the embodiments of the present application, rather than all the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without any creative effort fall within the protection scope of the present application.

[0026] Factors affecting the effect of repeated fracturing include but are not limited to: previous fracturing scale, recovery degree, water cut, etc., and there is interaction between each factor. In the related technology, a shale gas repeated fracturing well section optimization method based on initial fracturing evaluation is proposed, which includes: obtaining the initial fracturing parameters of each candidate well section; normalizing the initial fracturing construction pressure, initial fracturing pump-off pressure, initial fracturing proppant amount, initial fracturing fluid volume, initial fracturing construction displacement, and initial fracturing reservoir reconstruction volume; numerical processing of the natural fracture development of each candidate well section; substituting the normalized values of each parameter into the calculation of the repeatable fracturing value index of each candidate well section; and selecting the repeated fracturing well section according to the repeatable fracturing value index. In this way, by considering the influence of fracturing engineering parameters and whether the natural fractures of the reservoir are developed on the initial fracturing of the reservoir, the repeated fracturing value of each candidate well section of the fracturing well is determined. Another method is to evaluate and select wells for repeated fracturing stimulation of low permeability oil reservoirs, which includes: selecting a previous fracturing well as a candidate well and collecting basic data of the candidate well, including reservoir data, fracturing data and production performance data; constructing a virtual target well with repeated fracturing stimulation potential; calculating the correlation coefficient of the candidate well and the virtual target well; and evaluating the repeated fracturing stimulation potential of the candidate well according to the correlation coefficient. The third method is a method for selecting layers and fracturing methods for repeated fracturing of horizontal wells, which includes: selecting a test horizontal well and an evaluation well inside the reservoir, and obtaining logging data by logging the liquid production profile of the test horizontal well; calculating the oil layer geological parameters and rock mechanics parameters of the test horizontal well according to the logging data; analyzing the effectiveness of the initial fracturing of the test horizontal well; analyzing the main factors affecting productivity; fitting the calculation formula of the liquid production profile of the evaluation well; calculating the liquid production contribution percentage and recovery rate of each fracturing section of the evaluation well; evaluating the potential of repeated fracturing of each fracturing section of the evaluation well; and evaluating the way of repeated fracturing of each fracturing section of the evaluation well. The fourth method is a shale gas well repeated fracturing well selection evaluation method, which includes: selecting a well close to the pressure transmission well as a repeated fracturing target well from all production wells in the shale gas field; optimizing shale gas well repeated fracturing well selection evaluation indexes; quantitatively evaluating indexes for each well and selecting target wells; and combining the comprehensive evaluation results of the evaluation indexes to select wells with greater stimulation potential for repeated fracturing.The fifth method is a repeated fracturing well selection evaluation method for low-to-medium permeability high water cut reservoirs, which comprises: establishing a repeated fracturing well selection evaluation database D, an evaluation set S and a parameter set X, all of which comprise four types of parameters; establishing a single factor evaluation standard set V; calculating the influence weight W of each parameter in the parameter set X on the repeated fracturing liquid production and the influence weight K of each type of parameter on the repeated fracturing liquid production; calculating the membership R of each parameter in the evaluation set S; performing fuzzy comprehensive calculation on the influence weight W and the membership R; performing fuzzy comprehensive operation on the parameter layer evaluation vector B and the influence weight K; and obtaining a comprehensive score L to evaluate whether a single well in the evaluation set S has a repeated fracturing reconstruction potential.

[0027] However, the above method mainly considers the main parameters and indexes of geology and engineering, and lacks consideration of the current development of the reservoir, and the indexes for development well selection are lacking or imperfect, including the recovery percent of the measure well (fracturing well), the formation energy and the fine characterization of the remaining oil, which need to be further improved.

[0028] In this embodiment, in the process of repeated fracturing well selection and layer selection, the main parameters and indexes of geology and engineering are considered, and the indexes for development well selection are lacking or imperfect, and a repeated fracturing well selection and layer selection method based on multi-dimension of development, geology and engineering is proposed, a multi-dimension well selection and layer selection process method and key index judgment standard based on repeated fracturing and taking “development, geology and engineering” as the main part are established, so as to guide the repeated fracturing well selection and layer selection of the old well (measure well, fracturing well) and improve the pertinence of the repeated fracturing technology.

[0029] Referring to Figure 1 The embodiment of the present application provides a repeated fracturing well selection method, which can comprise the following steps:

[0030] S101, acquiring multi-dimension data of each fracturing well in a target block, wherein the multi-dimension data comprises development dimension data, geology dimension data and engineering dimension data;

[0031] In this embodiment, as an optional embodiment, the multi-dimension data comprises but is not limited to development dimension data, geology dimension data and engineering dimension data.

[0032] In this embodiment, by collecting the multi-dimension data of the reservoir development data, the geology reservoir feature data, the wellbore state data, the initial fracturing parameter data and the development effect data of each fracturing well (measure well) in the target block, a “development, geology and engineering” multi-dimension database for the target block is obtained, which is used to store the multi-dimension data of each fracturing well in the target block.

[0033] In the embodiment, as an optional embodiment, the development dimension data in the development dimension database includes but is not limited to: measure well development type data, injection-production response relationship data, water drive law data, productivity level data, remaining oil data, water cut data, production system data and the like.

[0034] In the embodiment, as an optional embodiment, the geological dimension data includes but is not limited to: reservoir porosity data, permeability data, oil saturation data, horizontal two-way stress difference value data, two-way stress difference coefficient data, brittleness index data, formation pressure coefficient data and the like.

[0035] In the embodiment, as an optional embodiment, the engineering dimension data includes but is not limited to: wellbore structure data, wellbore state data, primary transformation scale and displacement data, fracture parameter data and the like.

[0036] In the embodiment, as an optional embodiment, the multi-dimension data of each fractured well can be obtained by consulting literature, setting corresponding sensors in the target block or in a simulation test manner.

[0037] S102, based on the development dimension data and a pre-set development well selection strategy, development well selection is performed to obtain a preliminary repeated fracturing target well;

[0038] In the embodiment, development well selection is performed to preliminarily screen the repeated fracturing target well, that is, the preliminary repeated fracturing target well is obtained from each fractured well.

[0039] Figure 2 A flowchart for step S102 in a well selection method based on repeated fracturing provided by the embodiment is shown in FIG. 2. Figure 2 As shown in FIG. 2, in the embodiment, as an optional embodiment, based on the development dimension data and a pre-set development well selection strategy, development well selection is performed, including:

[0040] S201, for each fractured well, remaining oil data in the development dimension data of the fractured well is extracted, and based on the remaining oil data, a recovery degree is calculated, and if the recovery degree is less than or equal to a pre-set recovery degree threshold, the fractured well is placed in a development well selection sequence;

[0041] S202, from the development well selection sequence, a measure well development type data in the development dimension data is obtained to represent a fractured well with low-permeability injection-production imbalance in the reservoir, and it is determined whether the fractured well satisfies a development well selection first candidate strategy, the development well selection first candidate strategy being that water drive law data in the development dimension data represents clear understanding of water drive law, and water cut data is less than or equal to a pre-set water cut threshold;

[0042] S203, if the fracturing well meets the first candidate strategy of well selection, the fracturing well is taken as the preliminary repeated fracturing target well.

[0043] In this embodiment, as another optional embodiment, the well selection is performed based on the development dimension data and the preset well selection strategy, including:

[0044] For each fracturing well, the remaining oil data in the development dimension data of the fracturing well is extracted, the recovery degree is calculated based on the remaining oil data, and if the recovery degree is less than or equal to the preset recovery degree threshold, the fracturing well is placed in the development well selection sequence.

[0045] From the development well selection sequence, the injection-production effect relationship data in the development dimension data is obtained to represent the fracturing well with low-permeability injection-production imbalance, and it is determined whether the fracturing well meets the second candidate strategy of well selection, the second candidate strategy of well selection being that the injection-production effect relationship data in the development dimension data represents injection-production ineffectiveness.

[0046] If the fracturing well meets the second candidate strategy of well selection, the fracturing well is taken as the preliminary repeated fracturing target well.

[0047] In this embodiment, as another optional embodiment, the well selection is performed based on the development dimension data and the preset well selection strategy, including:

[0048] For each fracturing well, the remaining oil data in the development dimension data of the fracturing well is extracted, the recovery degree is calculated based on the remaining oil data, and if the recovery degree is less than or equal to the preset recovery degree threshold, the fracturing well is placed in the development well selection sequence.

[0049] From the development well selection sequence, the injection-production effect relationship data in the development dimension data is obtained to represent the fracturing well with low-permeability injection-production imbalance, and it is determined whether the fracturing well meets the second candidate strategy of well selection, the second candidate strategy of well selection being that the injection-production effect relationship data in the development dimension data represents injection-production ineffectiveness.

[0050] If the fracturing well meets the second candidate strategy of well selection, the fracturing well is taken as the preliminary repeated fracturing target well.

[0051] In this embodiment, the fracturing well meeting the first candidate strategy of well selection or the second candidate strategy of well selection or the third candidate strategy of well selection is selected from the development well selection sequence to obtain the preliminary repeated fracturing target well.

[0052] In this embodiment, the fracturing well meeting the first candidate strategy of well selection or the second candidate strategy of well selection or the third candidate strategy of well selection selected from the development well selection sequence is the preliminary repeated fracturing target well.

[0053] In this embodiment, as an optional embodiment, the well selection strategy includes four well selection sub-strategies, and the well selection can be selected by the following four well selection sub-strategies:

[0054] ① Residual oil fine characterization sub-strategy:

[0055] In this embodiment, the residual oil fine characterization is the premise of implementing repeated fracturing measures for old wells (fracturing wells). As an optional embodiment, the recovery degree threshold is set to 15%, that is, if the repeated fracturing measures are carried out, the recovery degree (representing the remaining recoverable reserves) obtained based on the residual oil data needs to meet ≤15%, when the residual oil fine characterization sub-strategy is met, it is determined that the development well selection requirement is met, and the fracturing well can be stored in the pre-set development well selection sequence, if the residual oil fine characterization sub-strategy is not met, it is determined as a non-target repeated fracturing well, wherein the initial development well selection sequence is empty.

[0056] The subsequent three well selection sub-strategies are all based on the development well selection sequence.

[0057] ② Injection-production water drive rule and water cut judgment sub-strategy (development well selection first candidate strategy):

[0058] In this embodiment, for the low-permeability injection-production imbalance measure well, as an optional embodiment, the water cut threshold is set to 85%, that is, the injection-production water drive rule and water cut judgment sub-strategy is: the water drive rule is well understood, and the pre-pressing water cut is ≤85%, if it is met, it can be selected as a preliminary repeated fracturing target well, if it does not meet the condition, it is determined as a non-target repeated fracturing well.

[0059] ③ Development energy judgment sub-strategy (development well selection second candidate strategy):

[0060] In this embodiment, for the low-permeability measure well, if the injection-production effect relationship data represents that the injection-production does not work, and relies on natural energy development, it meets the development well selection second candidate strategy, and can be selected as a preliminary repeated fracturing target well, if it does not meet the condition, it is determined as a non-target repeated fracturing well.

[0061] ④ Production system and productivity sub-strategy (development well selection third candidate strategy):

[0062] In this embodiment, if the measure well production system data is unreasonable, resulting in rapid decline of production (productivity level data), for example, the decline rate exceeds the pre-set preset threshold, it can be selected as a preliminary repeated fracturing target well, and the one that does not meet the production system and productivity sub-strategy is a non-target repeated fracturing well.

[0063] In the embodiment, for the development well selection strategy, if the remaining oil fine characterization sub-strategy is met, and the injection-production water drive law, water cut judgment sub-strategy or development energy judgment sub-strategy or production system and productivity sub-strategy are met, the well can be screened as a preliminary refracturing target well, otherwise, the well is determined as a non-target refracturing well and is not considered for modification.

[0064] In S103, based on the geological dimension data and a pre-set geological well selection strategy, a re-screening refracturing target well is obtained from the preliminary refracturing target well.

[0065] In the embodiment, the geological well selection is performed to obtain the re-screening refracturing target well.

[0066] In the embodiment, based on the preliminary refracturing target well screened by the development well selection, the refracturing target well is further fine screened through the geological well selection.

[0067] In the embodiment, as an optional embodiment, based on the geological dimension data and a pre-set geological well selection strategy, a re-screening refracturation target well is obtained from the preliminary refracturation target well, including:

[0068] For each target reservoir of the preliminary refracturation target well, reservoir porosity data and permeability data of the target reservoir are obtained, and if the target reservoir is determined as a low-porosity and low-permeability reservoir according to the reservoir porosity data and the permeability data;

[0069] Horizontal two-way stress difference value data of the target reservoir are obtained, and it is determined that a horizontal two-way stress difference value obtained according to the horizontal two-way stress difference value data is less than or equal to a pre-set stress difference threshold value;

[0070] Two-way stress difference coefficient data of the target reservoir are obtained, and it is determined that a two-way stress difference coefficient obtained according to the two-way stress difference coefficient data is less than or equal to a pre-set difference threshold value;

[0071] It is determined that the preliminary refracturation target well corresponding to the target layer is a re-screening refracturation target well.

[0072] In the embodiment, if a target reservoir of the preliminary refracturation target well is a low-porosity and low-permeability reservoir, and a horizontal two-way stress difference value of the target reservoir is less than or equal to a pre-set stress difference threshold value, and a two-way stress difference coefficient of the target reservoir is less than or equal to a pre-set difference threshold value, it is determined that the preliminary refracturation target well is a re-screening refracturation target well.

[0073] In the embodiment, as another optional embodiment, based on the geological dimension data and a pre-set geological well selection strategy, a re-screening refracturation target well is obtained from the preliminary refracturation target well, including:

[0074] For each target reservoir of the preliminary repeated fracturing target well, brittle index data of the target reservoir is acquired, and it is determined that a brittle index obtained according to the brittle index data is greater than or equal to a preset index threshold value;

[0075] Formation pressure coefficient data of the target reservoir is acquired, and it is determined that a formation coefficient obtained according to the formation pressure coefficient data is greater than or equal to a preset formation coefficient threshold value;

[0076] Oil saturation data of the target reservoir is acquired, and it is determined that an oil saturation obtained according to the oil saturation data is greater than or equal to a preset saturation threshold value;

[0077] It is determined that the target layer corresponds to the preliminary repeated fracturing target well as the complex screen repeated fracturing target well.

[0078] In this embodiment, as another optional embodiment, based on the geological dimension data and a preset geological well selection strategy, a complex screen repeated fracturing target well is acquired from the preliminary repeated fracturing target well, and the method comprises the following steps:

[0079] For each target reservoir of the preliminary repeated fracturing target well, brittle index data of the target reservoir is acquired, and it is determined that a brittle index obtained according to the brittle index data is greater than or equal to a preset index threshold value;

[0080] Formation pressure coefficient data of the target reservoir is acquired, and it is determined that a formation coefficient obtained according to the formation pressure coefficient data is greater than or equal to a preset formation coefficient threshold value;

[0081] Formation pressure coefficient data of the target reservoir is acquired, and it is determined that a formation pressure coefficient obtained according to the formation pressure coefficient data is greater than or equal to a preset pressure coefficient threshold value;

[0082] The preliminary repeated fracturing target well corresponding to the target reservoir is taken as the complex screen repeated fracturing target well.

[0083] In this embodiment, as an optional embodiment, the stress difference threshold value is set to 8.0, the difference threshold value is set to 0.12, the index threshold value is set to 30%, the formation coefficient threshold value is set to 6, the saturation threshold value is set to 35%, and the pressure coefficient threshold value is set to 0.7.

[0084] In this embodiment, the preliminary repeated fracturing target well that meets the following three conditions and above can be taken as the complex screen repeated fracturing target well:

[0085] a. The target reservoir is a low-porosity and low-permeability reservoir, indicating that it has fracturing reconstruction requirements;

[0086] b. The horizontal two-way stress difference value is less than or equal to 8.0, which provides geological conditions for the temporary plugging process to realize network reconstruction.

[0087] c. Two-way stress difference coefficient ≤0.12, which provides geological conditions for network reconstruction;

[0088] d. Brittle index ≥30%;

[0089] e. Formation coefficient (KH) ≥6;

[0090] f. Oil saturation ≥35%, which provides the condition of flowable crude oil;

[0091] g. Formation pressure coefficient ≥0.7, which provides the condition of providing production pressure difference.

[0092] In the embodiment, if the geological dimension parameter data meet less than three conditions, it is determined that the well is not a target refracturing well, and the well is removed from the preliminary refracturing target well obtained by using the development well screening, and finally a re-screening refracturing target well is obtained.

[0093] In S104, based on the engineering dimension data and the pre-set engineering well selection strategy, a refracturing target well is obtained from the re-screening refracturing target well.

[0094] In the embodiment, the refracturing target well is determined by the engineering well selection method.

[0095] In the embodiment, based on the re-screening refracturing target well obtained by the geological well screening, the refracturing target well is determined by the engineering well selection.

[0096] In the embodiment, as an optional embodiment, based on the engineering dimension data and the pre-set engineering well selection strategy, a refracturing target well is obtained from the re-screening refracturing target well, comprising:

[0097] Obtaining wellbore structure data and wellbore state data of the re-screening refracturing target well, and determining that the wellbore structure data and the wellbore state data meet the pre-set refracturing construction requirements;

[0098] Based on the initial reconstruction scale and the discharge data of the re-screening refracturing target well, it is determined that the initial fracturing reconstruction scale is less than the pre-set reconstruction scale;

[0099] Based on the fracture parameter data of the re-screening refracturing target well, it is determined that the initial fracturing of the re-screening refracturing target well does not occur pressure channeling phenomenon with adjacent wells;

[0100] The re-screening refracturing target well is determined as a refracturing target well.

[0101] In the embodiment, as an optional embodiment, the pre-set reconstruction scale includes: liquid intensity ≤20 m 3 / m, or sanding intensity ≤ 2.0 m 3 / m, or construction discharge ≤ 5 m 3 / min.

[0102] In this embodiment, when the following three conditions are met, the re-fracturing target well can be used as a re-fracturing target well:

[0103] ① The well structure and wellbore state meet the re-fracturing construction requirements;

[0104] ② The initial fracturing scale is small, and the liquid intensity is ≤ 20 m 3 / m, or sanding intensity ≤ 2.0 m 3 / m, or construction discharge ≤ 5 m 3 / min;

[0105] ③ The initial fracturing does not cause pressure channeling with adjacent wells.

[0106] If less than three conditions are met, the well is determined to be a non-target re-fracturing well, and is removed from the re-fracturing target well obtained by geological well screening. Finally, the re-fracturing target well is obtained.

[0107] In this embodiment, by developing well selection, geological well selection, and engineering well selection, the re-fracturing target well is selected layer by layer, and finally the measure well in the target block that can implement the re-fracturing process is selected, which provides support for the development plan adjustment and re-fracturing plan of the target block.

[0108] In this embodiment, as an optional embodiment, the method further comprises:

[0109] According to the multi-dimensional data of the re-fracturing target well, a re-fracturing plan for the re-fracturing target well is formulated.

[0110] In this embodiment, as an optional embodiment, after the re-fracturing plan for the fracturing well (measured well or re-fracturing target well) is formulated, if the injection-production efficiency of the fracturing well is effectively improved, the correspondence between the multi-dimensional data of the fracturing well and the re-fracturing plan is constructed. For the fracturing well with no obvious improvement in injection-production efficiency, after revising the re-fracturing plan, if the injection-production efficiency of the fracturing well is effectively improved, the correspondence between the multi-dimensional data of the fracturing well and the revised re-fracturing plan is constructed. In subsequent application, when it is determined that the re-fracturing of a certain reservoir or multiple reservoirs of the re-fracturing target well is needed, the multi-dimensional data of the re-fracturing target well can be matched with the saved multi-dimensional data in each correspondence, the re-fracturing plan corresponding to the correspondence with the highest matching degree can be used as the re-fracturing plan of the re-fracturing target well, and the re-fracturing plan can be adjusted according to the development effect in actual development.

[0111] The method for selecting wells and layers for repeated fracturing of old wells based on development geology engineering multidimensionality provided by the embodiment of the present application comprises the following steps: a multidimensional well and layer selection process method and key index judgment standard are established in advance, multidimensional data of development, geology and engineering of wells in a target block are obtained, a preliminary repeated fracturing target well is obtained through development well selection screening, a re-screening repeated fracturing target well is obtained from the preliminary repeated fracturing target well through geology well selection, and a repeated fracturing target well is determined based on the re-screening repeated fracturing target well through engineering well selection. In this way, through development well selection, geology well selection and engineering well selection, the target block can be screened layer by layer, and a measure well that can implement the repeated fracturing process is finally screened out, so as to guide the well and layer selection work of the repeated fracturing of old wells, improve the pertinence of the repeated fracturing process, and provide support for the next development plan adjustment and repeated fracturing plan of the block.

[0112] Based on the same inventive concept, as shown in Figure 3 The embodiment of the present application also provides a well selection device based on repeated fracturing, which comprises:

[0113] The multidimensional data acquisition module 301 is used for acquiring multidimensional data of each fracturing well in a target block, and the multidimensional data comprises development dimension data, geology dimension data and engineering dimension data.

[0114] The development well selection module 302 is used for performing development well selection based on the development dimension data and a pre-set development well selection strategy, and obtaining a preliminary repeated fracturing target well.

[0115] In the embodiment, as an optional embodiment, the development dimension data comprises remaining oil data, measure well development type data, water drive law data and water cut data, and the development well selection module 302 is specifically used for:

[0116] For each fracturing well, the remaining oil data in the development dimension data of the fracturing well is extracted, the recovery degree is calculated based on the remaining oil data, and if the recovery degree is less than or equal to a pre-set recovery degree threshold value, the fracturing well is placed in a development well selection sequence.

[0117] The measure well development type data in the development dimension data is used to represent a fracturing well with low-permeability injection and uneven production in a reservoir, and it is determined whether the fracturing well meets a development well selection first candidate strategy, the development well selection first candidate strategy being that the water drive law data in the development dimension data represents that the water drive law is well understood, and the water cut data is less than or equal to a pre-set water cut threshold value.

[0118] If the fracturing well meets the development well selection first candidate strategy, the fracturing well is taken as a preliminary repeated fracturing target well.

[0119] In this embodiment, as an optional embodiment, the recovery degree threshold is set to 15%, and the water cut threshold is set to 85%.

[0120] In this embodiment, as another optional embodiment, the development dimension data includes remaining oil data and injection-production response data, and the development well selection module 302 is specifically configured to:

[0121] For each fractured well, the remaining oil data in the development dimension data of the fractured well is extracted, the recovery degree is calculated based on the remaining oil data, and if the recovery degree is less than or equal to a pre-set recovery degree threshold, the fractured well is placed in a development well selection sequence;

[0122] From the development well selection sequence, the injection-production response data in the development dimension data is obtained to represent the fractured well with low injection-production imbalance, and it is determined whether the fractured well meets a second candidate strategy for development well selection, the second candidate strategy for development well selection being that the injection-production response data in the development dimension data represents ineffective injection-production;

[0123] If the fractured well meets the second candidate strategy for development well selection, the fractured well is taken as a preliminary repeated fracturing target well.

[0124] In this embodiment, as still another optional embodiment, the development dimension data includes remaining oil data, capacity level data and production system data, and the development well selection module 302 is specifically configured to:

[0125] For each fractured well, the remaining oil data in the development dimension data of the fractured well is extracted, the recovery degree is calculated based on the remaining oil data, and if the recovery degree is less than or equal to a pre-set recovery degree threshold, the fractured well is placed in a development well selection sequence;

[0126] From the development well selection sequence, the production system data and the capacity level data in the development dimension data are obtained, and it is determined whether the fractured well meets a third candidate strategy for development well selection based on the production system data and the capacity level data, the third candidate strategy for development well selection being that the production system data and the capacity level data in the development dimension data represent that the production decline exceeds a pre-set threshold;

[0127] If the fractured well meets the third candidate strategy for development well selection, the fractured well is taken as a preliminary repeated fracturing target well.

[0128] The geological well selection module 303 is configured to obtain a re-screened repeated fracturing target well from the preliminary repeated fracturing target well based on the geological dimension data and a pre-set geological well selection strategy.

[0129] In this embodiment, as an optional embodiment, the geological dimension data includes reservoir porosity data, permeability data, horizontal two-way stress difference value data and two-way stress difference coefficient data, and the geological well selection module 303 is specifically configured to:

[0130] For each target reservoir of the preliminary refracturing target well, reservoir porosity data and permeability data of the target reservoir are obtained, and if it is determined that the target reservoir is a low-porosity and low-permeability reservoir according to the reservoir porosity data and the permeability data;

[0131] Horizontal two-way stress difference value data of the target reservoir are obtained, and it is determined that a horizontal two-way stress difference value obtained according to the horizontal two-way stress difference value data is less than or equal to a pre-set stress difference threshold value;

[0132] Two-way stress difference coefficient data of the target reservoir are obtained, and it is determined that a two-way stress difference coefficient obtained according to the two-way stress difference coefficient data is less than or equal to a pre-set difference threshold value;

[0133] It is determined that the preliminary refracturing target well corresponding to the target layer is a complex screen refracturing target well.

[0134] In this embodiment, as another optional embodiment, the geological dimension data includes oil saturation data, brittleness index data and formation pressure coefficient data, and the geological well selection module 303 is specifically configured to:

[0135] For each target reservoir of the preliminary refracturing target well, brittleness index data of the target reservoir are obtained, and it is determined that a brittleness index obtained according to the brittleness index data is greater than or equal to a pre-set index threshold value;

[0136] Formation pressure coefficient data of the target reservoir are obtained, and it is determined that a formation coefficient obtained according to the formation pressure coefficient data is greater than or equal to a pre-set formation coefficient threshold value;

[0137] Oil saturation data of the target reservoir are obtained, and it is determined that an oil saturation obtained according to the oil saturation data is greater than or equal to a pre-set saturation threshold value;

[0138] It is determined that the preliminary refracturing target well corresponding to the target layer is a complex screen refracturing target well.

[0139] In this embodiment, as an optional embodiment, the stress difference threshold value is set to 8.0, the difference threshold value is set to 0.12, the index threshold value is set to 30%, the formation coefficient threshold value is set to 6, the saturation threshold value is set to 35%, and the pressure coefficient threshold value is set to 0.7.

[0140] The engineering well selection module 304 is configured to acquire the repeated fracturing target well from the rescreened repeated fracturing target well based on the engineering dimension data and a preset engineering well selection strategy.

[0141] In this embodiment, as an optional embodiment, the engineering dimension data includes well profile data, wellbore state data, primary transformation scale and displacement data, and fracture parameter data, and the engineering well selection module 304 is specifically configured to:

[0142] acquire the well profile data and the wellbore state data of the rescreened repeated fracturing target well, and determine that the well profile data and the wellbore state data meet a preset repeated fracturing construction requirement;

[0143] determine, based on the primary transformation scale and displacement data of the rescreened repeated fracturing target well, that the primary fracturing transformation scale is less than a preset transformation scale;

[0144] determine, based on the fracture parameter data of the rescreened repeated fracturing target well, that the primary fracturing of the rescreened repeated fracturing target well does not cause channeling with an adjacent well;

[0145] determine that the rescreened repeated fracturing target well is the repeated fracturing target well.

[0146] In this embodiment, as an optional embodiment, the preset transformation scale includes a liquid intensity ≤ 20 m 3 / m, or a sand intensity ≤ 2.0 m 3 / m, or a construction displacement ≤ 5 m 3 / min.

[0147] Based on the same inventive concept, the present embodiment also provides a storage medium having a computer program stored thereon, and the program is executed by a processor to implement the steps of the well selection method based on repeated fracturing in any possible implementation manner described above.

[0148] Optionally, the storage medium can be a non-transitory computer readable storage medium, for example, the non-transitory computer readable storage medium can be a ROM, a random access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, and an optical data storage device, etc.

[0149] Based on the same inventive concept, refer to Figure 4The embodiment of the present application also provides an electronic device, which comprises a memory 101 (for example, a non-volatile memory), a processor 102, and a computer program stored in the memory 101 and capable of running on the processor 102, and the processor 102 implements the steps of the well selection method based on repeated fracturing in any possible implementation manner described above when executing the program, which is equivalent to the well selection device based on repeated fracturing as described above, and of course, the processor can also be used to process other data or operations. The electronic device can be a PC, a server, a terminal, or the like.

[0150] As shown in Figure 4 The electronic device generally also comprises a memory 103, a network interface 104, and an internal bus 105. In addition to these components, other hardware can also be included, which will not be described herein.

[0151] It should be noted that the well selection device based on repeated fracturing described above can be realized by software, and as a logically meaningful device, it is formed by reading the computer program instructions stored in the non-volatile memory into the memory 103 and running by the processor 102 of the electronic device.

[0152] Embodiments of the subject matter and the functional operations described in this specification can be implemented in digital electronic circuitry, in tangibly-embodied computer software or firmware, in computer hardware, including the structures disclosed in this specification and their structural equivalents, or in combinations of one or more of them. Embodiments of the subject matter described in this specification can be implemented as one or more computer programs, i.e., one or more modules of computer program instructions encoded on a tangible non-transitory program carrier to be executed by, or to control the operation of, data processing apparatus. Alternatively or additionally, the program instructions can be encoded on an artificially generated propagated signal, e.g., a machine-generated electrical, optical, or electromagnetic signal that is generated to encode information for transmission to suitable receiver apparatus for execution by a data processing apparatus. The computer storage medium can be a machine-readable storage device, a machine-readable storage substrate, a random or serial access memory device, or a combination of one or more of them.

[0153] The processes and logic flows described in this specification can be performed by one or more programmable computers executing one or more computer programs to perform actions by operating on input data and generating output. The processes and logic flows can also be performed by special purpose logic circuitry, e.g., an FPGA (field programmable gate array) or an ASIC (application-specific integrated circuit), and the apparatus can be implemented as special purpose logic circuitry.

[0154] Computers suitable for the execution of a computer program include, by way of example, general and / or special purpose microprocessors, or any other kind of central processing unit. Generally, a central processing unit will receive instructions and data from a read-only memory and / or a random access memory. The essential elements of a computer are a central processing unit for performing or executing instructions and one or more memory devices for storing instructions and data. Generally, a computer will also include, or be operatively coupled to receive data from or transfer data to, or both, one or more mass storage devices for storing data, e.g., magnetic, magneto-optical disks, or optical disks. However, a computer need not have such devices. Moreover, a computer can be embedded in another device, e.g., a mobile telephone, a personal digital assistant (PDA), a mobile audio or video player, a game console, a Global Positioning System (GPS) receiver, or a portable storage device (e.g., a universal serial bus (USB) flash drive), to name just a few.

[0155] Computer readable media suitable for storing computer program instructions and data include all forms of non-volatile memory, media and memory devices, including by way of example semiconductor memory devices, e.g., EPROM, EEPROM, and flash memory devices; magnetic disks, e.g., internal hard disks or removable disks; magneto-optical disks; and CD-ROM and DVD-ROM disks. The processor and the memory can be supplemented by, or incorporated in, special purpose logic circuitry.

[0156] While this specification contains many specifics, these should not be construed as limitations on the scope of any invention or on the required scope of patent protection. Certain features outside the scope of the claimed invention are described in order to provide a clearer understanding of the features of the particular inventions. Some features described in multiple embodiments can be combined in a single embodiment. Conversely, various features described in a single embodiment can be divided among several embodiments. Moreover, no component or structure of the described embodiment is intended to be essential to the practice of the claimed invention unless the component or structure is directly numbered and described as an essential element of the invention in the claims. It is intended that additional modifications and variations to these specific implementation be considered as coming within the scope of the claimed invention. It is intended that only such limitations as two-fully described and clearly induced the patent and / or industrial property office be placed upon the invention and any inventions defined by the following claims. These claims should be construed to cover any alternatives falling within the equivalent of the recited elements.

[0157] Similarly, while operations are depicted in the drawings in a particular order, this should not be understood as requiring such an order, nor that all illustrated operations be performed, to achieve desirable results. In certain circumstances, multitasking and parallel processing can be advantageous. Moreover, the separation of various system modules and components in the embodiments described above should not be understood as requiring such separation in all embodiments, and it should be understood that the described program components and systems can generally be integrated in a single software product or packaged into multiple software products.

[0158] Thus, particular embodiments of the subject matter have been described. Other embodiments are within the scope of the following claims. In some cases, actions recited in the claims can be performed in a different order and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve the desired results. In certain implementations, multitasking and parallel processing can be advantageous.

[0159] It is noted that, in this document, the terms "first", "second", etc. are used merely as label, and are not necessarily intended to signify that a particular entity or action is in some way subordinate to another entity or action, or that one of the entities came before another action in some type of ranking or order. Also, the terms "comprises", "comprising", or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but can also include other elements not expressly listed or inherent to such process, method, article, or apparatus. An element proceeded by "comprises... a" does not, without more constraints, exclude the existence of additional identical elements in the process, method, article, or apparatus that comprises the element.

[0160] The above specification, examples and data provide a complete description of the manufacture and use of the application. Since many embodiments of the application can be made without departing from the spirit and scope of the application, the application is not to be limited to the embodiments disclosed.

Claims

1. A well selection method based on repeated fracturing, characterized in that, include: Acquire multi-dimensional data for each fractured well within the target block, including: development dimension data, geological dimension data, and engineering dimension data; Based on the aforementioned development dimension data and the pre-set development well selection strategy, development wells are selected to obtain preliminary target wells for repeated fracturing. Based on the geological dimension data and the pre-set geological well selection strategy, repeat fracturing target wells are obtained from the initial repeat fracturing target wells; Based on the engineering dimension data and the pre-set engineering well selection strategy, repeat fracturing target wells are obtained from the screened repeat fracturing target wells.

2. The well selection method based on repeated fracturing according to claim 1, characterized in that, The development dimension data includes: remaining oil data, development type data for intervention wells, water drive pattern data, and water cut data. The development well selection based on the development dimension data and a pre-set development well selection strategy includes: For each fractured well, the remaining oil data in the development dimension data of the fractured well is extracted. Based on the remaining oil data, the recovery degree is calculated. If the recovery degree is less than or equal to a preset recovery degree threshold, the fractured well is placed in the development well selection sequence. From the development well selection sequence, the development type data of the measure wells in the development dimension data are obtained to characterize the fractured wells with low permeability and uneven injection and production in the reservoir. It is then determined whether the fractured well meets the first candidate strategy for development well selection. The first candidate strategy for development well selection is: the water drive law data in the development dimension data characterizes the water drive law clearly and the water cut data is less than or equal to the preset water cut threshold. If the fractured well meets the first candidate strategy for development well selection, the fractured well will be used as the initial target well for repeated fracturing.

3. The well selection method based on repeated fracturing according to claim 2, characterized in that, The extraction degree threshold is set to 15%, and the moisture content threshold is set to 85%.

4. The well selection method based on repeated fracturing according to claim 1, characterized in that, The development dimension data includes: remaining oil data and injection-production effectiveness relationship data. The development well selection based on the development dimension data and a pre-set development well selection strategy includes: For each fractured well, the remaining oil data in the development dimension data of the fractured well is extracted. Based on the remaining oil data, the recovery degree is calculated. If the recovery degree is less than or equal to a preset recovery degree threshold, the fractured well is placed in the development well selection sequence. From the development well selection sequence, the injection-production effectiveness relationship data in the development dimension data is obtained to characterize the fractured wells with low permeability and uneven injection-production in the reservoir. It is then determined whether the fractured well meets the second candidate strategy for development well selection. The second candidate strategy for development well selection is: the injection-production effectiveness relationship data in the development dimension data characterizes the ineffectiveness of injection and production. If the fractured well meets the second candidate strategy for development well selection, the fractured well will be used as the initial target well for repeated fracturing.

5. The well selection method based on repeated fracturing according to claim 1, characterized in that, The development dimension data includes: remaining oil data, production capacity level data, and production system data. The development well selection based on the development dimension data and a pre-set development well selection strategy includes: For each fractured well, the remaining oil data in the development dimension data of the fractured well is extracted. Based on the remaining oil data, the recovery degree is calculated. If the recovery degree is less than or equal to a preset recovery degree threshold, the fractured well is placed in the development well selection sequence. From the development well selection sequence, the production system data and production capacity level data in the development dimension data are obtained. Based on the production system data and production capacity level data, it is determined whether the fracturing well meets the third candidate strategy for development well selection. The third candidate strategy for development well selection is: the production system data and production capacity level data in the development dimension data indicate that the production decline exceeds a preset threshold. If the fractured well meets the third candidate strategy for development well selection, the fractured well will be used as the initial target well for repeated fracturing.

6. The well selection method based on repeated fracturing according to any one of claims 1 to 5, characterized in that, The geological dimension data includes: reservoir porosity data, permeability data, horizontal biaxial stress difference data, and biaxial stress difference coefficient data. Based on the geological dimension data and a pre-set geological well selection strategy, the process of obtaining re-screening target wells for repeated fracturing from the initial target wells includes: For each target reservoir in the initial repeated fracturing target well, obtain the reservoir porosity data and permeability data of the target reservoir. If the target reservoir is determined to be a low-porosity and low-permeability reservoir based on the reservoir porosity data and permeability data; Obtain the horizontal biaxial stress difference data of the target reservoir, and determine that the horizontal biaxial stress difference obtained based on the horizontal biaxial stress difference data is less than or equal to a preset stress difference threshold. Obtain biaxial stress difference coefficient data of the target reservoir, and determine that the biaxial stress difference coefficient obtained based on the biaxial stress difference coefficient data is less than or equal to a preset difference threshold. The initial repeat fracturing target well corresponding to the target layer is identified as a repeat fracturing target well for rescreening.

7. The well selection method based on repeated fracturing according to claim 6, characterized in that, The stress difference threshold is set to 8.0, and the difference threshold is set to 0.

12.

8. The well selection method based on repeated fracturing according to any one of claims 1 to 5, characterized in that, The geological dimension data includes: oil saturation data, brittleness index data, and formation pressure coefficient data. The process of obtaining secondary screening target wells for repeated fracturing from the initial repeated fracturing target wells, based on the geological dimension data and a pre-set geological well selection strategy, includes: For each target reservoir in the initial repeated fracturing target well, the brittleness index data of the target reservoir is obtained, and it is determined that the brittleness index obtained based on the brittleness index data is greater than or equal to a preset index threshold. Obtain formation pressure coefficient data of the target reservoir, and determine whether the formation coefficient obtained based on the formation pressure coefficient data is greater than or equal to a preset formation coefficient threshold. Obtain the oil saturation data of the target reservoir, and determine that the oil saturation obtained based on the oil saturation data is greater than or equal to a preset saturation threshold. The initial repeat fracturing target well corresponding to the target layer is identified as a repeat fracturing target well for rescreening.

9. The well selection method based on repeated fracturing according to claim 8, characterized in that, The index threshold is set to 30%, the formation coefficient threshold is set to 6, and the saturation threshold is set to 35%.

10. The well selection method based on repeated fracturing according to any one of claims 1 to 5, characterized in that, The engineering dimension data includes: wellbore structure data, wellbore status data, initial stimulation scale and displacement data, and fracture parameter data. The process of obtaining repeat fracturing target wells from the re-screened repeat fracturing target wells based on the engineering dimension data and a pre-set engineering well selection strategy includes: Acquire the wellbore structure data and wellbore status data of the target well for repeated fracturing, and determine that the wellbore structure data and wellbore status data meet the pre-set repeated fracturing construction requirements; Based on the initial stimulation scale and displacement data of the target wells for repeated fracturing, it is determined that the initial fracturing stimulation scale is smaller than the preset stimulation scale. Based on the fracture parameter data of the target wells that were repeatedly screened and fractured, it was determined that the initial fracturing of the target wells did not result in cross-flow with adjacent wells. The target well for repeated fracturing was determined to be a target well for repeated fracturing.

11. The well selection method based on repeated fracturing according to claim 10, characterized in that, The pre-set modification scale includes: liquid strength ≤ 20m 3 / m, or sand strength ≤2.0m 3 / m, or construction discharge volume ≤5m 3 / min.

12. The well selection method based on repeated fracturing according to any one of claims 1 to 5, characterized in that, The method further includes: Based on the multi-dimensional data of the target well that was repeatedly fractured, a repeated fracturing scheme was formulated for the target well.

13. A well selection device based on repeated fracturing, characterized in that, The well selection device based on repeated fracturing includes: The multi-dimensional data acquisition module is used to acquire multi-dimensional data of each fracturing well within the target block. The multi-dimensional data includes: development dimension data, geological dimension data, and engineering dimension data. The well selection module is used to select development wells based on the development dimension data and the pre-set development well selection strategy to obtain preliminary target wells for repeated fracturing. The geological well selection module is used to select repeat fracturing target wells from the initial repeat fracturing target wells based on the geological dimension data and the pre-set geological well selection strategy. The engineering well selection module is used to select repeatable fracturing target wells from the rescreened repeatable fracturing target wells based on the engineering dimension data and the pre-set engineering well selection strategy.

14. A storage medium, characterized in that, A program or instruction is stored on a storage medium, and the program or instruction is executed by a processor to implement the steps of the well selection method based on repeated fracturing as described in any one of claims 1 to 12.

15. An electronic 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 program, it implements the steps of the well selection method based on repeated fracturing as described in any one of claims 1 to 12.

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