An oil and gas exploration right optimization allocation method and system based on mineral right big data

Abstract

The present application relates to a kind of oil and gas exploration right optimization configuration method and system based on mineral right big data, the method includes: based on the screening of mineral right big data and preset block screening principle, obtain the candidate block pool;Mineral right big data includes mineral right registration library, mineral right annual information public database, protection area database and mineral right cooperation information database;Based on the block optimization index of pre-determined block, the block optimization index of different block in candidate block pool is calculated, target block pool is screened from candidate block pool based on block optimization index, the mineral right optimization configuration of this round is implemented in combination with configuration purpose and receiver technical advantage, according to the exploration stage where the configured block is located, the configured block is evaluated, and the configured block evaluation index is obtained, to evaluate the configured block based on the configured block evaluation index.This application innovates the new way of oil enterprise mineral right management, accelerates resource discovery and exploitation, and protects high-quality mineral right.

Description

Technical Field

[0001] This invention relates to a method and system for optimizing the allocation of oil and gas exploration rights based on big data on mining rights. Background Technology

[0002] Oil and gas mineral rights are the foundation for oil and gas resource exploration and development. Before the opening up of the oil and gas resource market, mineral rights management mainly focused on mineral license management and legal and compliant management. With the implementation of the paid use system and the fully competitive transfer of oil and gas exploration rights, their value as usufructuary rights has gradually become prominent. In the future, the management of oil and gas exploration rights will continue to deepen towards "operation" management.

[0003] With the implementation of the policy of mandatory withdrawal upon expiration of exploration rights, the situation for oilfield companies to protect high-quality exploration rights is becoming increasingly severe. Accelerating the conversion of proven exploration rights to production rights is the most effective way to protect these rights. The internal transfer and optimized allocation of oil and gas exploration rights is a new technological means for oil companies to improve resource utilization under the new situation of the full opening of the oil and gas resource market. It can effectively resolve the imbalance between resources, talent, and technology within the company, accelerate resource discovery and utilization, and protect high-quality exploration rights. Summary of the Invention

[0004] To accelerate resource discovery and utilization, protect high-quality mineral rights, and optimize the allocation of oil and gas exploration rights, this invention proposes a method and system for optimizing the allocation of oil and gas exploration rights based on big data analysis of mineral rights. The technical solution proposed in this invention is as follows:

[0005] In a first aspect, the present invention provides a method for optimizing the allocation of oil and gas exploration rights based on big data on mining rights, including:

[0006] Based on mining rights big data and pre-defined block selection principles, a pool of candidate blocks is selected; among which, mining rights big data includes a mining rights registration database, a mining rights annual information disclosure database, a protected area database, and a mining rights cooperation information database;

[0007] Based on predetermined block selection criteria, the block selection index of different blocks in the candidate block pool is calculated, and the block selection index is used to select configurable blocks from the candidate block pool to obtain the target block pool.

[0008] Based on the configuration purpose and the technical advantages of the recipient, the exploration rights in the target block pool are optimized and configured. After the blocks are configured, the configured blocks are evaluated according to the exploration stage of the configured blocks to obtain the configured block post-evaluation index, and the configured blocks are assessed and evaluated based on the configured block post-evaluation index.

[0009] In one or more embodiments, the candidate block pool includes a first candidate block, a second candidate block, and a third candidate block;

[0010] The pool of candidate blocks, selected based on mining rights big data and preset block selection principles, includes:

[0011] From the annual information disclosure database of mining rights, blocks that have no physical exploration investment or whose statutory exploration investment is lower than the preset investment threshold within the first preset period are selected to obtain the first candidate blocks;

[0012] Based on the drilling information within the mining rights in the annual inspection data, blocks with oil and gas discovery wells that have not submitted reserves within the second preset period are selected to obtain the second candidate blocks;

[0013] Based on the discovery of third-level reserves in the annual inspection data of mining rights, blocks that have submitted predicted or controlled reserves and have not been upgraded to proven reserves within the third preset period are selected as the third candidate blocks.

[0014] In one or more embodiments, the different blocks include unbroken blocks and broken blocks;

[0015] The process of calculating the block preference index of different blocks in the candidate block pool based on a predetermined block preference index, and then selecting configurable blocks from the candidate block pool based on the block preference index to obtain the target block pool, includes:

[0016] For blocks that have not been breached, the first block selection index is determined based on their oil and gas accumulation geological conditions index and exploration risk index;

[0017] For blocks that have already been breached, the selection index for the second block is determined based on its oil and gas accumulation geological conditions index, resource conditions index, and surface and engineering conditions index.

[0018] The target block pool is obtained by selecting blocks from the candidate block pool whose first block preference index is greater than a first preset threshold and whose second block preference index is greater than a second preset threshold.

[0019] In one or more embodiments, the first block preference index is determined by the following formula:

[0020] P 未突破 =P 地质 ×P 勘探风险

[0021] In the formula, P 未突破 P is the first block preference index. 地质 P is an index of geological conditions for hydrocarbon accumulation. 勘探风险 This is the exploration risk index.

[0022] In one or more embodiments, the second block preference index is determined by the following formula:

[0023] P 已突破 =P地质 ×P 资源条件 ×P 地面及工程

[0024] In the formula, P 已突破 P is the second block preference index. 地质 P is an index of geological conditions for hydrocarbon accumulation. 资源条件 P is a resource condition index. 地面及工程 This refers to the index of ground and engineering conditions.

[0025] In one or more embodiments, the hydrocarbon accumulation geological condition index is determined by the following formula:

[0026] P 地质 =P 源 ×P 储 ×P 圈 ×P 保

[0027] In the formula, P 源 P is the evaluation index for source rocks. 储 P is the reservoir condition evaluation index. 圈 P is the evaluation index for trap conditions. 保 To preserve the evaluation index of conditions.

[0028] In one or more embodiments, the post-configuration block evaluation index is calculated in the following manner:

[0029] Based on the exploration stage of the configured blocks, obtain the corresponding sub-indicator content and indicator weights;

[0030] The post-configuration evaluation index is determined based on the content of each sub-indicator and its corresponding weight in the configured blocks. In one or more embodiments, the post-configuration evaluation index is determined by the following formula:

[0031] P 后评价 =P 投资 *T1+P 成本 *T2+P 管理 *T3+P 效益 *T4

[0032] In the formula, P 后评价 To configure the post-block evaluation index, P 投资 For the implementation status of the investment plan, P 成本 For cost control purposes, P 效益 To assess the effectiveness of exploration and development, T1, T2, T3, and T4 represent the weights for investment plan execution, cost control, legal and compliant management of mining rights, and exploration and development effectiveness, respectively.

[0033] In one or more embodiments, the cost control situation P 成本Determined by the following formula:

[0034] P 成本 =P 钻井 *W1+P 试油 *W2+P 物化探 *W3

[0035] In the formula, P 钻井 For drilling costs, P 试油 To cover the costs of oil and gas testing, P 物化探 For geophysical and geochemical exploration costs, W1, W2, and W3 are the weights of drilling costs, oil and gas testing costs, and geophysical and geochemical exploration costs, respectively.

[0036] Secondly, the present invention provides an oil and gas exploration rights optimization allocation system based on mineral rights big data, comprising:

[0037] The first screening module is used to select candidate blocks based on mining rights big data and preset block screening principles; the mining rights big data includes mining rights registration database, mining rights annual information disclosure database, protected area database and mining rights cooperation information database;

[0038] The second filtering module is used to calculate the block selection index of different blocks in the candidate block pool based on a predetermined block selection index, and to filter configurable blocks from the candidate block pool based on the block selection index to obtain the target block pool.

[0039] The post-evaluation module is used to optimize the allocation of exploration rights in the target block pool by combining the configuration purpose and the technical advantages of the recipient. After the block is configured, the configured block is evaluated according to the exploration stage of the configured block to obtain the configured block post-evaluation index, and the configured block is evaluated based on the configured block post-evaluation index.

[0040] Thirdly, the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the oil and gas exploration rights optimization allocation method based on big data of mining rights as described in the first aspect.

[0041] Fourthly, the present invention provides an electronic device, including a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other through the communication bus;

[0042] Memory, used to store computer programs;

[0043] When the processor executes the program stored in the memory, it implements the oil and gas exploration rights optimization configuration method based on big data of mining rights as described in the first aspect.

[0044] Based on the above technical solution, the beneficial effects of the present invention compared with the prior art are as follows:

[0045] The present invention provides a method for optimizing the allocation of oil and gas exploration rights based on big data on mining rights. First, based on big data on mining rights and pre-defined block selection principles, preliminary screening of blocks is conducted to obtain a candidate block pool. Next, based on pre-determined block selection indicators, a block selection index is calculated for different blocks in the candidate block pool. A second screening based on the block selection index is then conducted to select feasible blocks from the candidate block pool, resulting in a target block pool. Combining the allocation purpose and the technical advantages of the receiving party, the blocks in the target block pool are then optimized for this round of oil and gas exploration rights allocation. Finally, based on the exploration stage of the allocated blocks, a post-evaluation is conducted to obtain a post-evaluation index for the allocated blocks. The allocated blocks are then assessed based on this post-evaluation index, further optimizing the operation of the allocated blocks, accelerating resource discovery and utilization, and is of great significance for protecting high-quality mining rights.

[0046] Other features and advantages of the invention will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention are realized and obtained in accordance with the structures particularly pointed out in the description, claims and drawings.

[0047] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, preferred embodiments are described below in detail with reference to the accompanying drawings. Attached Figure Description

[0048] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0049] Figure 1 This is a flowchart illustrating the method for optimizing the allocation of oil and gas exploration rights based on big data on mining rights.

[0050] Figure 2 This is a schematic diagram of the structure of an oil and gas exploration rights optimization allocation system based on big data on mining rights.

[0051] Figure 3 This is a schematic diagram of the electronic device. Detailed Implementation

[0052] Exemplary embodiments of the present disclosure will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.

[0053] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numerals in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present invention. Rather, they are merely examples of apparatuses and methods consistent with some aspects of the invention as detailed in the appended claims.

[0054] In the description of this invention, it should be noted that the terms "center," "upper," "lower," "left," "right," "vertical," "horizontal," "inner," and "outer," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are used only for the convenience of describing the invention and for simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on the invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0055] In the description of this invention, it should be noted that, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0056] Oil and gas mineral rights are the foundation for oil and gas resource exploration and development. Before the opening up of the oil and gas resource market, mineral rights management mainly focused on mineral license management and legal and compliant management. With the implementation of the paid use system and the fully competitive transfer of oil and gas exploration rights, their value as usufructuary rights has gradually become prominent. In the future, the management of oil and gas exploration rights will continue to deepen towards "operation" management.

[0057] With the implementation of the policy of mandatory withdrawal upon expiration of exploration rights, the situation for oilfield companies to protect high-quality exploration rights is becoming increasingly severe. Accelerating the conversion of proven exploration rights to production rights is the most effective way to protect these rights. Internal transfer and optimal allocation of oil and gas exploration rights are new technological means for oil companies to improve resource utilization under the new circumstances of a fully open oil and gas resource market. This can effectively resolve imbalances in resources, talent, and technology within the company, accelerate resource discovery and utilization, and protect high-quality exploration rights. The oil and gas exploration rights optimal allocation system and method based on big data of exploration rights is an important technological means for oil companies to achieve effective market-oriented reforms of exploration rights, and it represents a completely new technological field. A search revealed no patents related to "optimized allocation of exploration rights," "transfer of exploration rights," or "transfer of exploration rights," which did not meet the inventor's expectations. Therefore, the inventor developed this invention.

[0058] Example 1

[0059] This invention provides a method for optimizing the allocation of oil and gas exploration rights based on big data on mining rights, supporting the preparation and post-evaluation of optimized allocation schemes for oil and gas exploration rights. It mainly establishes three aspects: first, the construction of a candidate block pool for optimized allocation (preliminary screening of allocation blocks); second, the selection of optimized allocation blocks (secondary screening to determine the blocks to be allocated); and third, benchmarking analysis of allocation blocks (post-evaluation of allocation blocks). (Refer to...) Figure 1 As shown, the method specifically includes the following steps:

[0060] S101. Based on mining rights big data and preset block screening principles, a pool of candidate blocks is selected.

[0061] Research on the selection of allocation blocks was conducted based on mining rights big data. Preliminary screening of allocation blocks was performed based on pre-determined block selection principles (as described above), and a pool of candidate allocation blocks was dynamically established. Mining rights big data refers to the mining rights registration database, the annual mining rights information disclosure database, the protected area database, and the mining rights cooperation information database.

[0062] S102. Based on the predetermined block selection index, calculate the block selection index of different blocks in the candidate block pool, and select configurable blocks from the candidate block pool based on the block selection index to obtain the target block pool.

[0063] Based on the configured pool of candidate projects, and considering the current policy situation and the objectives of this allocation, the blocks to be allocated (i.e., the blocks in the aforementioned candidate block pool) are ranked and prioritized according to the "block selection index." A comprehensive evaluation of the blocks is conducted from multiple perspectives, including hydrocarbon accumulation geological conditions, exploration risks, resource status, and surface and engineering technical conditions. Different selection principles are established for unexplored and explored blocks, and the block selection index is calculated for each block. Based on the ranking of the block selection index, the target block pool is obtained by screening from the candidate block pool. Specifically, the number of blocks to be screened can be determined according to actual needs, and the number of blocks corresponding to the ranking of the block selection index can be obtained based on the number of blocks to be screened, thus obtaining the target block pool and implementing the allocation.

[0064] S103. Combining the configuration purpose and the technical advantages of the recipient, the exploration rights in the target block pool are optimized and configured. After the blocks are configured, the configured blocks are post-evaluated according to the exploration stage of the configured blocks to obtain the configured block post-evaluation index, and the configured blocks are assessed and evaluated based on the configured block post-evaluation index.

[0065] First, the objectives of resource allocation are defined: For blocks that have not yet been explored, the aim is to optimize allocation, introduce new teams, and assist in achieving new breakthroughs by changing exploration strategies and increasing exploration investment. For blocks that have already been explored, the aim is to optimize allocation to new companies, expand exploration investment, accelerate the exploration process, increase resource utilization efficiency, and provide resource support for the company's long-term development. Based on the technical advantages of each recipient, blocks that have not yet been explored will be allocated to units with corresponding exploration technologies, while blocks that have already been explored will be allocated to units lacking resource replacement areas or those needing to turn losses into profits, helping oilfields increase production faster and achieve efficient resource utilization.

[0066] After the allocation of mining rights to the allocated blocks, a post-allocation evaluation is conducted. The aim is to evaluate the benefits and effects of the allocated blocks before and after allocation, summarize experiences, identify problems, make timely adjustments, and promote the improvement of the quality and efficiency of the allocated blocks. The exploration stage of the allocated blocks includes both unexplored and explored stages. Based on the different exploration stages of the allocated blocks, the execution status of the investment plan (P) is designed. 投资 Cost control status (P) 成本 ), legal and compliant management of mining rights (P 管理 ), exploration and development results (P) 效益The evaluation index comprises four sub-indicators, with differentiated content and weights for both unexplored and explored blocks. The post-application evaluation index is calculated using a parametric weighting method. These sub-indicators reflect the specific circumstances of each block and can be compared with pre-application indicators or corresponding indicators for similar blocks in the same oilfield. This guides the company in optimizing block management and improving overall block efficiency. The overall index, the post-application evaluation index, reflects the overall operation of the block and guides the company's performance evaluation. Furthermore, with the future establishment of a secondary market for oil and gas exploration rights, this index can be expanded to serve as a post-application evaluation indicator for secondary market block transfers. This evaluation assesses the effectiveness of block allocation, further improves the management of allocated blocks, and maximizes the benefits of allocation.

[0067] This invention relates to the field of oil and gas exploration rights management technology, and particularly to an oil and gas exploration rights optimization allocation system and method based on big data of mineral rights. The oil and gas exploration rights optimization allocation method based on big data of mineral rights provided by this invention firstly screens allocation blocks based on big data of mineral rights and preset block screening principles, obtaining a candidate block pool; then, based on pre-determined block selection indicators, it calculates the block selection index of different blocks in the candidate block pool, and selects the target block pool from the candidate block pool by queuing; combining the purpose of this allocation round and the technical characteristics of the recipient, it implements the optimization allocation of oil and gas exploration rights for this round; finally, after the block allocation, it conducts a post-evaluation of the allocated blocks according to their exploration stage, obtaining a post-evaluation index of the allocated blocks, and conducts assessment and evaluation of the allocated blocks based on the post-evaluation, further optimizing and improving the management and operation of the allocated blocks in conjunction with sub-indicators, accelerating resource discovery and utilization, and is of great significance for protecting high-quality mineral rights. Moreover, this invention achieves differentiated evaluation by screening and configuring blocks step by step, and by formulating differentiated sub-indicators and weights according to the different stages of different configured blocks, thereby improving the accuracy of the optimal allocation of oil and gas exploration rights.

[0068] Optimizing the allocation of oil and gas exploration rights is a new means for oil companies to improve resource utilization under the new circumstances of the full opening of the oil and gas resource market. It can effectively resolve the contradictions of imbalance in resources, talent, and technology within the company, accelerate resource discovery and utilization, and protect high-quality mineral rights. The oil and gas exploration rights transfer method based on mineral rights big data is a technical guarantee for ensuring the effectiveness of the market-oriented reform of oil and gas mineral rights.

[0069] The oil and gas exploration rights optimization allocation method based on big data of mining rights provided in this invention provides an innovative approach to mining rights management for petroleum companies. Furthermore, with the full liberalization of the oil and gas market and the deepening of mandatory exit policies, competition for mining rights will intensify. Optimizing the allocation of mining rights is an effective technical method for "operating" blocks and is of great significance for companies to protect their existing high-quality mining rights. With the further liberalization of the oil and gas market and the establishment of a secondary transfer market, this technology can be extended to related fields.

[0070] In an optional embodiment, the candidate block pool includes a first candidate block, a second candidate block, and a third candidate block;

[0071] The above step S101, which involves selecting a candidate block pool based on mining rights big data and preset block selection principles, includes:

[0072] S1011. From the annual information disclosure database of mining rights, select blocks that have no physical exploration investment or whose statutory exploration investment is lower than the preset investment threshold within the first preset period to obtain the first candidate block;

[0073] The aforementioned first candidate block refers to a block where no physical exploration investment or insufficient statutory exploration investment has been made within the first preset period. Based on the annual information disclosure database of mineral rights over the years, blocks with no physical exploration work or insufficient statutory exploration investment within the first preset period are selected. This indicates that such blocks are areas where local oilfield exploration is not planned or cannot be addressed, and they can be considered as candidate blocks. By optimizing resource allocation and increasing investment in these blocks, further research can be conducted to achieve breakthroughs or discoveries. The aforementioned preset investment threshold refers to the minimum exploration investment requirements for oil and gas exploration rights stipulated in the "Measures for the Registration and Management of Mineral Resources Exploration Blocks" (State Council Decree No. 240). Different standards are applied according to different exploration years, as detailed in the aforementioned management measures. The aforementioned first preset period can be set according to actual needs; in this embodiment, it is set to the past three years.

[0074] S1012. Based on the drilling information within the mining rights in the annual inspection data of mining rights, select blocks with oil and gas discovery wells that have not submitted reserves within the second preset period to obtain the second candidate block.

[0075] The aforementioned second candidate block refers to a block where oil and gas have been discovered but exploration has been unsuccessful. Based on the drilling information within the mining rights in the annual inspection data of the mining rights, blocks with oil and gas discovery wells but which have not submitted reserves within the second preset period are selected. These blocks can be used as candidate blocks and allocated to new oilfield companies through optimized allocation, in order to promote new progress in exploration rights by changing the exploration approach.

[0076] S1013. Based on the discovery of third-level reserves in the annual inspection data of mining rights, blocks that have submitted predicted or controlled reserves and have not been upgraded to proven reserves within the third preset period are selected as the third candidate blocks.

[0077] The aforementioned third candidate block refers to a block whose controlled and predicted reserves have been discovered for many years but have not been upgraded. Based on the discovery status of the third-level reserves in the annual inspection data of mining rights, blocks that have submitted predicted or controlled reserves but have not been upgraded to proven reserves within the third preset period are selected. New technical talents are introduced through optimized allocation to promote the upgrading and utilization of the block's reserves.

[0078] In an optional embodiment, the different blocks include unbroken blocks and broken blocks;

[0079] Step S102 above, which involves calculating the block preference index of different blocks in the candidate block pool based on a predetermined block preference index, and then selecting configurable blocks from the candidate block pool based on the block preference index to obtain the target block pool, includes:

[0080] S1021. For unexplored blocks, determine the first block selection index based on their oil and gas accumulation geological conditions index and exploration risk index.

[0081] Firstly, for blocks that have not yet yielded breakthroughs, the goal is to optimize resource allocation, introduce new teams, change exploration strategies, and increase exploration investment to help these blocks achieve new breakthroughs. For these blocks, this invention focuses on designing a block selection index based on hydrocarbon accumulation geological conditions and exploration risks.

[0082] S1022. For the blocks that have been breached, determine the preferred index of the second block based on its oil and gas accumulation geological conditions index, resource conditions index, and surface and engineering conditions index.

[0083] Firstly, for blocks that have already been identified and targeted for allocation, the aim is to optimize allocation to new companies, expand exploration investment, accelerate the exploration process, increase resource utilization efficiency, and provide resource support for the company's long-term development. For these identified blocks, this invention focuses on designing a block optimization index based on oil and gas reservoir geological conditions, combined with resource conditions, surface conditions, and engineering conditions.

[0084] S1023. Select blocks from the candidate block pool whose first block preference index is greater than a first preset threshold and whose second block preference index is greater than a second preset threshold to obtain a target block pool.

[0085] In the technical solution of this invention, the first block preference index is determined by the following formula:

[0086] P 未突破 =P 地质 ×P勘探风险

[0087] In the formula, P 未突破 P is the first block preference index. 地质 P is an index of geological conditions for hydrocarbon accumulation. 勘探风险 This is the exploration risk index.

[0088] In the technical solution of this invention, the second block preference index is determined by the following formula:

[0089] P 已突破 =P 地质 ×P 资源条件 ×P 地面及工程

[0090] In the formula, P 已突破 P is the second block preference index. 地质 P is an index of geological conditions for hydrocarbon accumulation. 资源条件 P is a resource condition index. 地面及工程 This refers to the surface and engineering conditions index. In the technical solution of this invention, the hydrocarbon accumulation geological conditions index is determined by the following formula: P 地质 =P 源 ×P 储 ×P 圈 ×P 保

[0091] In the formula, P 源 P is the evaluation index for source rocks. 储 P is the reservoir condition evaluation index. 圈 P is the evaluation index for trap conditions. 保 To preserve the evaluation index of conditions.

[0092] When the exploration level of a block is low and data is scarce, each parameter can be assigned a value as a whole, and then P can be... 源 P 储 P 圈 P 保 The product of the four parameters is taken as the result; the assignment table for each sub-index is shown in Table 1.

[0093]

[0094] Table 1

[0095] In evaluating the source rock index P 源 Reservoir condition evaluation index P 储 The evaluation index of trap conditions P 圈 Preservation Condition Evaluation Index P 保 When assigning values, the specific sub-items of the parameters can be referenced in industry geological evaluation standards or specifications, and no specific limitations are made here.

[0096] When the exploration level of the block is high and the data is abundant, the hydrocarbon source rock evaluation index P 源 Reservoir condition evaluation index P 储 The evaluation index of trap conditions P 圈 Preservation Condition Evaluation Index P 保 The next level of sub-parameters needs to be further subdivided and assigned values, then multiplied by weights and summed to obtain the value of the parameter. Specific parameter sub-items can be found in industry geological evaluation standards or specifications; as shown in Table 2, this is the hydrocarbon source rock evaluation index P. 源 An example of assignment.

[0097]

[0098] Table 2

[0099] Exploration Risk Index P 勘探风险 As an influencing factor for the selection of unexplored blocks, it represents the possibility of solving key problems and achieving exploration breakthroughs by changing exploration strategies. The assignment table is shown in Table 3. Resource Condition Index P 资源条件 As an influencing factor for the selection of blocks that have already been optimized, the remaining resource situation is reflected by the reserve scale and utilization status, and the value assignment table is shown in Table 3. Surface and Engineering Technical Conditions Index P 地面及工程 As an influencing factor for the selection of blocks that have been broken through, it characterizes the difficulty of surface construction conditions in the area where the block is located (water source, transportation, enterprise-local relationship, etc.), the requirements and dependence of resource exploration and development in the block on engineering and technical conditions (drilling depth, specific development technology, etc.), and the assignment table is shown in Table 3.

[0100] In the above exploration risk index P 勘探风险 Resource Conditions Index P 资源条件 Ground and engineering technical conditions index P 地面及工程 When assigning values, whether key issues are clearly defined, such as the scale of technically recoverable reserves in the area and the surface construction conditions in the area where the block is located, can be determined with reference to industry geological evaluation standards or specifications. No specific limitations are made here.

[0101]

[0102] Table 3

[0103] In an optional embodiment, the post-configuration evaluation index of the block mentioned in step S103 above is calculated in the following manner:

[0104] S1031. Based on the exploration stage of the configured block, obtain the content and weight of each sub-indicator.

[0105] Sub-indicators include: Investment plan implementation status (P) 投资 Cost control status P 成本 Mining rights management in accordance with laws and regulations管理 Exploration and development results P 效益 Table 4 shows the sub-indicators (principal factors), calculation methods, and indicator weights (principal factor weights) for the configuration blocks at different exploration stages.

[0106]

[0107] Table 4

[0108] S1032. Determine the evaluation index after configuring the blocks based on the content of each sub-indicator and the corresponding indicator weight of the configured blocks.

[0109] The post-configuration evaluation index is determined by the following formula:

[0110] P 后评价 =P 投资 *T1+P 成本 *T2+P 管理 *T3+P 效益 *T4

[0111] In the formula, P 后评价 To configure the post-block evaluation index, P 投资 For the implementation status of the investment plan, P 成本 For cost control purposes, P 效益 To assess the effectiveness of exploration and development, T1, T2, T3, and T4 are weighted according to the following factors: investment plan execution, cost control, legal and compliant management of mining rights, and exploration and development effectiveness, respectively. T1, T2, T3, and T4 are determined with reference to Table 4 above. Taking the exploration stage of the allocated block as an example (unbreakable), its post-allocation evaluation index is determined by the following formula:

[0112] P 后评价 =P 投资 *0.6+P 成本 *0.15+P 管理 *0.15+P 效益 *0.1.

[0113] The above sub-indicators are calculated using the principal factor calculation formula shown in Table 4. The weights of different classification parameters vary in the principal factor calculation formula. When assigning values ​​to each classification parameter, the values ​​can be assigned according to the correspondence between features and assigned values, using the classification parameter P as an example. 资金 For example, if the completion rate is 0.5, the value is 5; if the completion rate is 0.8, the value is 8.

[0114] Based on cost control situation P 成本 For example, the cost control situation P 成本 Determined by the following formula:

[0115] P 成本 =P 钻井*W1+P 试油 *W2+P 物化探 *W3

[0116] In the formula, P 钻井 For drilling costs, P 试油 To cover the cost of oil testing, P 物化探 For geophysical and geochemical exploration costs, W1, W2, and W3 represent the weights of drilling costs, well testing costs, and geophysical and geochemical exploration costs, respectively. W1 = 0.4, W2 = 0.4, and W3 = 0.2.

[0117] Other sub-indicators can be calculated with reference to Table 4, and will not be elaborated here.

[0118] Example 2

[0119] This invention provides an oil and gas exploration rights optimization allocation system based on big data on mining rights, referring to... Figure 2 As shown, it includes:

[0120] The first screening module 201 is used to screen and obtain a pool of candidate blocks based on mining rights big data and preset block screening principles.

[0121] The second filtering module 202 is used to calculate the block selection index of different blocks in the candidate block pool based on the predetermined block selection index, and to filter the configurable blocks from the candidate block pool based on the block selection index to obtain the target block pool.

[0122] The post-evaluation module 203 is used to optimize the allocation of exploration rights in the target block pool by combining the configuration purpose and the technical advantages of the recipient. After the block is configured, the configured block is evaluated according to the exploration stage of the configured block to obtain the configured block post-evaluation index, so as to evaluate the configured block based on the configured block post-evaluation index.

[0123] The oil and gas exploration rights optimization allocation system based on mining rights big data provided in this embodiment of the invention has a similar implementation principle and technical effect to any of the aforementioned method embodiments, and will not be repeated here.

[0124] Example 3

[0125] This invention provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the oil and gas exploration rights optimization allocation method based on big data of mining rights as described in any of the foregoing method embodiments.

[0126] The computer-readable storage medium may be included in the device / apparatus described in the above embodiments; or it may exist independently and not assembled into the device / apparatus. The computer-readable storage medium carries one or more programs that, when executed, implement the method according to the embodiments of the present invention.

[0127] According to embodiments of the present invention, the computer-readable storage medium may be a non-volatile computer-readable storage medium, such as including, but not limited to: portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof. In the present invention, the computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

[0128] Example 4

[0129] This invention provides an electronic device, with reference to... Figure 3 As shown, it includes a processor 111, a communication interface 112, a memory 113, and a communication bus 114, wherein the processor 111, the communication interface 112, and the memory 113 communicate with each other through the communication bus 114.

[0130] Memory 113 is used to store computer programs;

[0131] When the processor 111 executes the program stored in the memory 113, it implements the oil and gas exploration rights optimization configuration method based on mining rights big data as described in any of the aforementioned method embodiments.

[0132] The electronic device provided in this embodiment of the invention has a similar implementation principle and technical effect to any of the aforementioned method embodiments, and will not be repeated here.

[0133] The aforementioned memory 113 may be an electronic memory such as flash memory, EEPROM (Electrically Erasable Programmable Read-Only Memory), EPROM, hard disk, or ROM. Memory 113 has storage space for program code used to perform any of the method steps described above. For example, the storage space for program code may include individual program codes for implementing the various steps in the methods described above. This program code can be read from or written to one or more computer program products. These computer program products include program code carriers such as hard disks, optical discs (CDs), memory cards, or floppy disks. Such computer program products are typically portable or fixed storage units. The storage unit may have storage segments or storage spaces arranged similarly to the memory 113 in the aforementioned electronic device. The program code may be compressed, for example, in a suitable form. Typically, the storage unit includes programs for performing the method steps according to embodiments of the invention, i.e., code that can be read by, for example, processor 111, which, when run by the electronic device, causes the electronic device to perform the various steps in the methods described above.

[0134] In this document, relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, without necessarily requiring or implying any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. The terms "upper," "lower," etc., indicating orientation or positional relationships based on the orientation or positional relationships shown in the accompanying drawings, are used only for the convenience of describing the invention and for simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be construed as limiting the invention.

[0135] The various embodiments in this specification are described in a progressive manner. Similar or identical parts between embodiments can be referred to interchangeably. Each embodiment focuses on its differences from other embodiments. It should be noted that, unless otherwise specified, the embodiments and features described in these embodiments can be combined with each other. This invention is not limited to any single aspect, nor to any single embodiment, nor to any combination and / or substitution of these aspects and / or embodiments. Each aspect and / or embodiment of this invention can be used alone, or in combination with one or more other aspects and / or other embodiments.

[0136] Finally, it should be noted that the above-described embodiments are merely specific implementations of the present invention, used to illustrate the technical solutions of the present invention, and not to limit it. The scope of protection of the present invention is not limited thereto. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that any person skilled in the art can still modify or easily conceive of changes to the technical solutions described in the foregoing embodiments within the technical scope disclosed in the present invention, or make equivalent substitutions for some of the technical features; and these modifications, changes, or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be covered within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A method for optimizing the allocation of oil and gas exploration rights based on big data on mining rights, characterized in that, include: Based on mining rights big data and pre-defined block screening principles, a pool of candidate blocks is selected. The mining rights big data includes a mining rights registration database, a mining rights annual information disclosure database, a protected area database, and a mining rights cooperation information database. The candidate blocks include a first candidate block, a second candidate block, and a third candidate block. The first candidate block refers to a block where no physical exploration investment or insufficient statutory exploration investment has been made within a first pre-defined period. The second candidate block refers to a block where oil and gas have been discovered but exploration has been unsuccessful. The third candidate block refers to a block where controlled and predicted reserves have been discovered for many years but have not yet been upgraded. Based on predetermined block selection criteria, the block selection index of different blocks in the candidate block pool is calculated, and the block selection index is used to select configurable blocks from the candidate block pool to obtain the target block pool; the different blocks include unexploded blocks and exploded blocks; The process of calculating the block preference index of different blocks in the candidate block pool based on a predetermined block preference index, and then selecting configurable blocks from the candidate block pool based on the block preference index to obtain the target block pool, includes: For blocks that have not been breached, the first block selection index is determined based on their oil and gas accumulation geological conditions index and exploration risk index; For blocks that have already been breached, the selection index for the second block is determined based on its oil and gas accumulation geological conditions index, resource conditions index, and surface and engineering conditions index. The target block pool is obtained by selecting blocks from the candidate block pool whose first block preference index is greater than a first preset threshold and whose second block preference index is greater than a second preset threshold. Based on the configuration objectives and the technical advantages of the recipient, the exploration rights in the target block pool are optimized and configured. After the blocks are configured, a post-evaluation is performed on the configured blocks according to their exploration stage to obtain a post-evaluation index. The configured blocks are then assessed based on this post-evaluation index. The post-evaluation index is calculated as follows: Based on the exploration stage of the configured blocks, obtain the corresponding sub-indicators and their weights; the sub-indicators include: investment plan execution status P. 投资 Cost control status P 成本 Mining rights management in accordance with laws and regulations 管理 Exploration and development results P 效益 ; The evaluation index after configuring the blocks is determined based on the content of each sub-indicator and the corresponding indicator weights of the configured blocks.

2. The method for optimizing the allocation of oil and gas exploration rights based on big data of mining rights as described in claim 1, characterized in that, The pool of candidate blocks, selected based on mining rights big data and preset block selection principles, includes: From the annual information disclosure database of mining rights, blocks that have no physical exploration investment or whose statutory exploration investment is lower than the preset investment threshold within the first preset period are selected to obtain the first candidate blocks; Based on the drilling information within the mining rights in the annual inspection data of the mining rights, blocks with oil and gas discovery wells that have not submitted reserves within the second preset period are selected to obtain the second candidate blocks; Based on the discovery of third-level reserves in the annual inspection data of mining rights, blocks that have submitted predicted or controlled reserves and have not been upgraded to proven reserves within the third preset period are selected as the third candidate blocks.

3. The method for optimizing the allocation of oil and gas exploration rights based on big data of mining rights as described in claim 1, characterized in that, The first block preference index is determined by the following formula: P 未突破 =P 地质 ×P 勘探风险 ; In the formula, P 未突破 is the first block preferred index, P 地质 is the oil and gas accumulation geological condition index, P 勘探风险 is the exploration risk index.

4. The method for optimizing the allocation of oil and gas exploration rights based on big data of mining rights as described in claim 1, characterized in that, The second block preference index is determined by the following formula: P 已突破 = P 地质 × P 资源条件 × P 地面及工程 ; In the formula, P 已突破 P is the second block preference index. 地质 P is an index of geological conditions for hydrocarbon accumulation. 资源条件 P is a resource condition index. 地面及工程 This refers to the index of ground and engineering conditions.

5. The method for optimizing the allocation of oil and gas exploration rights based on big data of mining rights as described in claim 3 or 4, characterized in that, The oil and gas accumulation geological condition index is determined by the following formula: P 地质 =P 源 ×P 储 ×P 圈 ×P 保 ; wherein P 源 is a source rock evaluation index, P 储 is a reservoir condition evaluation index, P 圈 is a trap condition evaluation index, P 保 is a preservation condition evaluation index.

6. The method for optimizing the allocation of oil and gas exploration rights based on big data of mining rights as described in claim 1, characterized in that, The post-configuration evaluation index is determined by the following formula: P 后评价 =P 投资 *T1+ P 成本 *T2 +P 管理 *T3 +P 效益 *T4; In the formula, P 后评价 is the post-evaluation index of block configuration, P 投资 is the investment plan implementation, P 成本 is the cost control, P 效益 is the exploration and development results, T1, T2, T3, and T4 are the weights of the investment plan implementation, the cost control, the management of mining rights in accordance with the law, and the exploration and development results, respectively.

7. The method for optimizing the allocation of oil and gas exploration rights based on big data of mining rights as described in claim 6, characterized in that, The cost control situation P 成本 is determined by the formula: P 成本 = P 钻井 *W1+ P 试油 *W2+P 物化探 *W3; In the formula, P 钻井 For drilling costs, P 试油 To cover the costs of oil and gas testing, P 物化探 For geophysical and geochemical exploration costs, W1, W2, and W3 are the weights of drilling costs, oil and gas testing costs, and geophysical and geochemical exploration costs, respectively.

8. A system for optimizing the allocation of oil and gas exploration rights based on big data on mining rights, characterized in that, include: The first screening module is used to screen candidate blocks based on mining rights big data and preset block screening principles. The mining rights big data includes a mining rights registration database, a mining rights annual information disclosure database, a protected area database, and a mining rights cooperation information database. The candidate blocks include a first candidate block, a second candidate block, and a third candidate block. The first candidate block refers to a block where no physical exploration investment or insufficient statutory exploration investment has been made within a first preset period. The second candidate block refers to a block where oil and gas have been discovered but exploration has been unsuccessful. The third candidate block refers to a block where controlled and predicted reserves have been discovered for many years but have not yet been upgraded. The second filtering module is used to calculate the block selection index of different blocks in the candidate block pool based on a predetermined block selection index, and to filter configurable blocks from the candidate block pool based on the block selection index to obtain the target block pool; the different blocks include unbroken blocks and broken blocks; The process of calculating the block preference index of different blocks in the candidate block pool based on a predetermined block preference index, and then selecting configurable blocks from the candidate block pool based on the block preference index to obtain the target block pool, includes: For blocks that have not been breached, the first block selection index is determined based on their oil and gas accumulation geological conditions index and exploration risk index; For blocks that have already been breached, the selection index for the second block is determined based on its oil and gas accumulation geological conditions index, resource conditions index, and surface and engineering conditions index. The target block pool is obtained by selecting blocks from the candidate block pool whose first block preference index is greater than a first preset threshold and whose second block preference index is greater than a second preset threshold. The post-evaluation module is used to optimize the allocation of exploration rights in the target block pool by combining the configuration purpose and the technical advantages of the recipient. After the blocks are configured, a post-evaluation is performed on the configured blocks according to their exploration stage to obtain a post-evaluation index. The configured blocks are then evaluated based on this post-evaluation index. The post-evaluation index is calculated as follows: Based on the exploration stage of the configured blocks, obtain the corresponding sub-indicators and their weights; the sub-indicators include: investment plan execution status P. 投资 Cost control status P 成本 Mining rights management in accordance with laws and regulations 管理 Exploration and development results P 效益 ; The evaluation index after configuring the blocks is determined based on the content of each sub-indicator and the corresponding indicator weights of the configured blocks.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by the processor, it implements the method for optimizing the allocation of oil and gas exploration rights based on big data of mining rights as described in any one of claims 1-7.

10. An electronic device, characterized in that, It includes a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other through the communication bus; Memory, used to store computer programs; The processor, when executing a program stored in memory, implements the oil and gas exploration rights optimization configuration method based on big data of mining rights as described in any one of claims 1-7.

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