Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

High-dimensional evaluating method for oil field operational risk

A risk and oilfield technology, applied in the field of high-dimensional oilfield operation risk assessment, can solve problems such as strong uncertainty, failure to meet actual needs, rough calculation results, etc.

Inactive Publication Date: 2016-08-17
SOUTHWEST PETROLEUM UNIV
View PDF2 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, in the analysis of operational risks of oilfields and related industries, there have been certain researches at home and abroad, and some achievements have been made, such as Chen Jichao's master's thesis "Research on Construction and Application of Oilfield Enterprise Operational Risk Assessment Model Based on Factor Analysis" , the application number is 201510096604.5 for the invention patent "Matrixized Oilfield Safety Responsibility Division Method", the application number is 201410642196.4 for the application for the invention patent "A Fire and Explosion Risk Assessment Method for Petrochemical Wharf Storage Tank Area", but the existing The method is mainly to use the original risk matrix method, through the mode of dividing risk and grade, and characterize the risk according to the importance criterion. Since there are many uncontrollable factors in the oilfield operation, the aforementioned risk assessment method has large errors and uncertainties. It is a problem of strong nature and difficult to standardize. The calculation results are relatively rough, and it is difficult to achieve accurate quantitative analysis, and it is impossible to sort accurately according to the level of risk. The results obtained have limited guiding value for oilfield operations and cannot meet actual needs.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • High-dimensional evaluating method for oil field operational risk
  • High-dimensional evaluating method for oil field operational risk
  • High-dimensional evaluating method for oil field operational risk

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0068] Taking an oilfield block of PetroChina as an example, the possibility and degree of influence of each risk point are set as four indicators: the possibility of risk occurrence (X 1 ), accident level (X 2 ), the degree of public opinion influence (X 3 ), the degree of economic impact (X 4 ), and divide these 4 indicators into 5 grades respectively. The combination of stratified sampling and random sampling is carried out for the personnel in different positions in this block. There are 4 leaders of the oil and gas transportation and sales department, 1 safety director, and 1 safety section chief. There are 3 managers in the safety section, 4 station leaders, 7 team leaders in the station, 10 operators in each operation position, 16 employees of the oil and gas transportation and sales department, and 13 staff of the relevant departments of the oil and gas transportation and sales department, including division-level staff. 6 cadres, 14 section-level cadres, 39 technica...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a high-dimensional evaluation method for oil field operation risk. Step 1) collect risk point data, and divide the risk point data according to four indicators: risk occurrence possibility, accident level, public opinion influence degree, and economic influence degree. 2) Select the risk points existing in the oilfield operation process to analyze the possibility and degree of influence, and draw the calculated data as a scatter diagram on the vertical axis of the degree of influence; 3) Use factor analysis to extract the original data Dimensionality reduction of effective information, calculation of factor scores of possibility and degree of influence, and drawing of factor risk matrix; 4) Quantitative determination of risk importance criteria by cluster analysis method, further optimization of risk matrix; 5) Reduction of existing data Dimensional quantitative analysis, using principal component analysis to complete risk ranking. The method described in the invention can be adapted to the operation risk assessment of different oil fields by adding pruning risk points, and the analysis results are accurate and suitable for popularization.

Description

technical field [0001] The invention relates to an oilfield risk assessment method, in particular to a high-dimensional oilfield operation risk assessment method. Background technique [0002] Oil, known as the blood of industry, plays a pivotal role in the development of a country. The violent fluctuation of international oil prices has brought huge operating pressure to the petrochemical industry. More and more uncertain factors require oilfield companies to Firmly establish risk awareness, establish and improve the enterprise operation risk management system, improve the ability and level to deal with various internal and external risks, and provide guarantee for the sustainable development of oilfield enterprises. In order to ensure the healthy and rapid development of my country's oilfield enterprises, it is required that oilfield enterprises must have a stable and healthy operating environment. Therefore, the research on the operation risk of oilfield enterprises has v...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/02
CPCG06Q10/0635G06Q50/02
Inventor 赵春兰王兵杨博文张衔陈怡男陈军华田东红赵艺
Owner SOUTHWEST PETROLEUM UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products