CN-121599655-B - Full life cycle operation and maintenance management system of petroleum underground transmitter

CN121599655BCN 121599655 BCN121599655 BCN 121599655BCN-121599655-B

Abstract

The invention relates to the technical field of oil exploration and development informatization and industrial asset full life cycle management digital processing, in particular to a full life cycle operation and maintenance management system of an oil underground transmitter, which comprises an asset data management module, a data management module and a data management module, wherein the asset data management module is used for constructing a full life cycle data lake for analyzing asset value; the reference valuation modeling module is used for generating a theoretical asset value curve of the transmitter under the condition of no environmental stress assumption; the risk quantification correction module is used for outputting theoretical residual value after risk adjustment, the management performance analysis module is used for calculating management performance residual error after environmental risk influence is stripped, the decision and execution module is used for automatically generating differentiated management instructions for asset disposal, inventory strategy adjustment or supplier evaluation and driving a downstream enterprise resource planning system or inventory control system to execute closed-loop operation, and the phenomenon of pushing operation and maintenance responsibility due to bad well conditions is effectively solved.

Inventors

NIU MINLIANG
ZHANG JIANHUI
LI PING
SU LICHUAN
QUAN WENTAO
YANG WENBO
LIU YUHONG

Assignees

宝鸡市兴宇腾测控设备有限公司

Dates

Publication Date: 20260508
Application Date: 20260129

Claims (6)

1. A full life cycle operation and maintenance management system for a petroleum downhole transmitter, the system being a digital processing system for enterprise asset operation and maintenance management, comprising: The asset data management module is used for aggregating static attribute data from the asset ledgers, dynamic working condition data from the underground monitoring network and historical event data from the operation and maintenance records to construct a full life cycle data lake for analyzing the asset value; the reference estimation modeling module is used for constructing a standard depreciation model based on the financial cost and the rated life parameter in the static attribute data and generating a theoretical asset value curve of the transmitter under the condition of no environmental stress; The risk quantification correction module is used for calling a built-in material stress knowledge base, quantitatively analyzing the dynamic working condition data, calculating asset value breakage caused by environmental risk factors, correcting the theoretical asset value curve according to the breakage, and outputting theoretical residual value after risk adjustment; The management performance analysis module is used for extracting actual performance indexes representing the health condition of the equipment from the historical event data, and calculating management performance residual errors after the environmental risk influence is stripped by comparing the actual performance indexes with the theoretical residual values, wherein the residual errors are used for subjective factors due to quality defects or operation and maintenance levels; the decision and execution module is used for automatically generating a differentiated management instruction of asset disposal, inventory strategy adjustment or supplier evaluation according to the numerical interval of the management performance residual error and driving a downstream enterprise resource planning system or an inventory control system to execute closed-loop operation; Docking an asset master data management system and a production data acquisition system of an enterprise; Acquiring static attribute data, wherein the static attribute data at least comprises asset coding, acquisition cost, depreciation age, supplier information and technical specifications of a transmitter; Acquiring dynamic working condition data, wherein the dynamic working condition data comprises underground real-time temperature, pressure, vibration and medium corrosiveness monitoring data; Acquiring historical operation and maintenance event data, wherein the historical operation and maintenance event data comprises an installation date, an overhaul record, a fault report and a final scrapping date; cleaning, correlating and time serializing the multi-source data, and establishing a unified data analysis basis with a single asset identifier as a core; Extracting dynamic working condition data from the panoramic data view, and identifying key risk factors affecting the service life of the asset; Inquiring a preset industry material failure model and an accelerated aging coefficient, and carrying out weighted integration on the key risk factors to quantitatively obtain an accumulated risk loss value in a specific time window; And performing value correction calculation, namely subtracting the accumulated risk loss value by taking the outputted theoretical reference value as a basis, so as to obtain the residual value which the asset theoretically should hold after bearing the actual environmental risk.
2. The system of claim 1, wherein the system's operating logic is implemented by the following enterprise asset management method: S1, data integration, namely collecting static attribute data of a target transmitter, dynamic working condition data of a deployment environment of the target transmitter and historical operation and maintenance event data of the target transmitter, and performing time sequence alignment and structuring processing to form a panoramic data view for asset analysis; S2, a reference estimation step, namely running a preset financial depreciation or performance attenuation algorithm according to the static attribute data to generate a theoretical reference value only with time; S3, inputting the dynamic working condition data into an environmental impact quantization model, calculating an accumulated risk loss value, and deducting the loss value from the theoretical reference value to obtain a theoretical residual value after environmental risk adjustment; S4, analyzing the historical operation and maintenance event data to obtain actual state scores of the equipment, calculating deviation between the actual state scores and the theoretical residual values, and defining the deviation as management performance residual errors for quantifying non-environmental management responsibilities; s5, the intelligent decision step is that the management performance residual error is input into a preset business rule engine, corresponding asset management actions are automatically triggered according to the value range of the business rule engine, and the intelligent decision step comprises the steps of generating a scrapping approval process, triggering a spare part purchase order or marking abnormal assets and starting an audit process.
3. The full life cycle operation and maintenance management system of a downhole transmitter of petroleum according to claim 2, wherein S5 specifically comprises: S51, presetting a judging threshold of management performance, wherein the judging threshold comprises a negative early warning threshold and a positive excellent threshold; S52, judging whether the management performance residual error falls in a normal interval formed by the negative early warning threshold and the positive excellent threshold; S53, if yes, judging that the asset loss meets the expectations, and generating a standard asset scrapping and replacement suggestion flow; S54, if the management performance residual error is lower than a negative early warning threshold, judging that the asset has abnormal derogations, generating a management alarm containing batch quality early warning or operation compliance examination, automatically freezing the circulation of the assets in the same batch, and creating claims or chasing duty work orders; And S55, if the management performance residual is higher than the forward excellent threshold, judging that the performance of the asset is better than the risk adjustment expectation, generating an asset value reevaluation suggestion, and prompting a depreciation policy or a maintenance policy of the asset to be optimized.
4. The full life cycle operation and maintenance management system of a petroleum downhole transmitter of claim 3, wherein the system further performs a supply chain co-optimization method, comprising: monitoring the trend of the accumulated risk loss value calculated in the step S3; predicting spare part consumption risk in a specific time period in the future based on the trend; When the trend shows that the environmental risk is aggravated, automatically generating suggestions to shorten the procurement lead time of related spare parts and improve the safety stock level; when the trend shows that the environmental risk is stable or reduced, advice is automatically generated to reduce inventory levels and optimize capital occupation.
5. The full life cycle operation and maintenance management system of a downhole transmitter of petroleum according to claim 2, wherein S4 specifically comprises: designing a dual-path comparison analysis logic; calculating the overall deviation of the actual state score from the theoretical reference value by the first path; calculating risk adjustment deviation of the theoretical residual value compared with the theoretical reference value by the second path; making a difference between the overall deviation and the risk adjustment deviation, and precipitating the management performance residual error; The management performance residual is specially used for evaluating the value variation caused by controllable factors in the whole asset management process after objective environmental risks are eliminated.
6. The full life cycle operation and maintenance management system of a downhole transmitter of petroleum according to claim 2, wherein S2 specifically comprises: setting the initial value of the transmitter as the original value of the financial account or the performance satisfaction value of the transmitter; a linear fold-back method or a nonlinear cost attenuation function based on reliability is adopted; simulating a value decreasing process under an ideal reference environment by taking service duration as a unique input variable; and outputting the theoretical reference value of the asset in an ideal state at the current time point.

Description

Full life cycle operation and maintenance management system of petroleum underground transmitter Technical Field The invention relates to the technical field of petroleum exploration and development informatization and industrial asset full life cycle management digital processing, in particular to a full life cycle operation and maintenance management system of a petroleum underground transmitter. Background With the continuous evolution of the oil drilling technology, the underground transmitter is used as core monitoring equipment for guaranteeing the operation safety and efficiency, and the deployment scale and the technical complexity of the underground transmitter are increasingly improved; At present, petroleum enterprises generally adopt a mode of financial account depreciation combined with periodic manual overhaul to manage, the mode mainly depends on an enterprise resource planning system to record static properties and a technician maintains underground equipment according to experience or a fixed period, however, because underground physical working condition data and financial asset management data are always in a mutually stripped state and have obvious data island phenomenon, the traditional method is difficult to quantify specific damage of extreme physical environment stress to asset value, so that a management layer cannot accurately judge whether equipment failure is caused by uncontrollable environmental factors or purchasing quality defects or operation and maintenance level is low, and therefore, how to accurately quantify the influence of environmental risks on asset value in complex underground environment and effectively strip environmental noise to truly restore management performance becomes a technical problem which needs to be solved in the petroleum asset operation and maintenance management field. Disclosure of Invention In order to solve the technical problems, the invention provides a full life cycle operation and maintenance management system of an oil downhole transmitter, which specifically comprises the following steps: The asset data management module is used for aggregating static attribute data from the asset ledgers, dynamic working condition data from the underground monitoring network and historical event data from the operation and maintenance records to construct a full life cycle data lake for analyzing the asset value; the reference estimation modeling module is used for constructing a standard depreciation model based on the financial cost and the rated life parameter in the static attribute data and generating a theoretical asset value curve of the transmitter under the condition of no environmental stress; The risk quantification correction module is used for calling a built-in material stress knowledge base, quantitatively analyzing the dynamic working condition data, calculating asset value breakage caused by environmental risk factors, correcting the theoretical asset value curve according to the breakage, and outputting theoretical residual value after risk adjustment; The management performance analysis module is used for extracting actual performance indexes representing the health condition of the equipment from the historical event data, and calculating management performance residual errors after the environmental risk influence is stripped by comparing the actual performance indexes with the theoretical residual values, wherein the residual errors are used for subjective factors due to quality defects or operation and maintenance levels; And the decision and execution module is used for automatically generating differentiated management instructions of asset disposal, inventory strategy adjustment or supplier evaluation according to the numerical interval of the management performance residual error and driving a downstream enterprise resource planning system or an inventory control system to execute closed-loop operation. Preferably, the operating logic of the system is implemented by the following enterprise asset management methods: S1, data integration, namely collecting static attribute data of a target transmitter, dynamic working condition data of a deployment environment of the target transmitter and historical operation and maintenance event data of the target transmitter, and performing time sequence alignment and structuring processing to form a panoramic data view for asset analysis; S2, a reference estimation step, namely running a preset financial depreciation or performance attenuation algorithm according to the static attribute data to generate a theoretical reference value only with time; S3, inputting the dynamic working condition data into an environmental impact quantization model, calculating an accumulated risk loss value, and deducting the loss value from the theoretical reference value to obtain a theoretical residual value after environmental risk adjustment; S4, analyzing the historical operation and maintenance event dat