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System and method for predicating risks of drilling construction working site of oil-gas well

A risk prediction and job site technology, applied in forecasting, instrumentation, data processing applications, etc., can solve problems such as environmental pollution and damage to drilling rig equipment

Inactive Publication Date: 2014-05-28
SOUTHWEST PETROLEUM UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

If a major accident such as an out-of-control blowout fire occurs, the casualties, damage to drilling rig equipment, environmental pollution, and economic losses and impacts caused by it will be immeasurable

Method used

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  • System and method for predicating risks of drilling construction working site of oil-gas well
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  • System and method for predicating risks of drilling construction working site of oil-gas well

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Embodiment Construction

[0043] The technical solution of the present invention will be further described in detail below in conjunction with the accompanying drawings, but the protection scope of the present invention is not limited to the following description.

[0044] Such as figure 1 As shown, the risk prediction system for the oil and gas well drilling construction site includes a data acquisition module, a data management module, a data application module and a decision support module. The collected supervision data and sample data are stored; the data application module is used to realize the release of information, data query, data statistics and report output; the decision support module includes a risk analysis unit and a risk early warning unit. The risk analysis unit It is used to conduct risk analysis on the supervision data collected on site according to the sample data, and the risk early warning unit is used to perform risk early warning according to the analysis results.

[0045] In...

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Abstract

The invention discloses a system and method for predicating risks of a drilling construction working site of an oil-gas well. The system comprises a data collection module, a data management module, a data application module and a decision supporting module, wherein the data collection module is used for collecting data of field operation, the data management module is used for storing the data collected on site and sampling data, the data application module is used for achieving information issue, data query, data statistics and report output, and the decision supporting module is used for carrying out risk analysis on data collected on site and alarming according to the sampling data. The method comprises the steps of collecting data of a working site, carrying out risk analysis on collected monitoring data according to the sampling data to obtain a risk analysis result, determining pre-warning levels by combining a preset pre-warning threshold value, and carrying out corresponding risk pre-warning actions. The system and method for predicating the risks of the drilling construction working site of the oil-gas well aim at the data collected on a well drilling site, a risk bayesian network and an ARIMA model are combined together, effective analysis and prediction of risk probability of accidents are achieved, analysis accuracy is high, and authenticity is strong.

Description

technical field [0001] The invention relates to a risk prediction system and method for an oil and gas well drilling construction site. Background technique [0002] Oil and gas drilling is a system engineering with multiple processes, multiple types of work, continuous operation, and three-dimensional intersection. Drilling engineering is a highly concealed underground engineering. It has the characteristics of large capital investment, high operation risk and complex operation technology. The entire drilling activity of a well includes a series of operations such as establishing a drilling platform, installing drilling rig equipment, drilling construction, casing cementing, well logging, oil testing and well completion. During the drilling production process, drilling operations may be affected by factors such as rock geological conditions, drilling equipment quality, operator technical ability, management ability and specifications, field operator's operating psychology...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/02
Inventor 李建王兵赵春兰肖斌汪敏李嘉迪李庭轲
Owner SOUTHWEST PETROLEUM UNIV
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