The Oversea Project Risk Investment Assessment Model Of Oil And Gas Resource Enterprises

With the advance of globalization and the global financial crisis has brought unprecedented opportunities to Chinese enterprises "going out" strategy of accelerating the progress. Chinese oil companies as a strategy for the implementation of important national resource enterprises, based on local basis, through asset acquisition, purchase of resources, and cash transactions are many ways to invest in overseas markets to increase the power and speed. At the same time, a variety of risks and uncertainties ensuing uncertainty risk, how to identify and avoid the risk of many seems to have doomed, is the subject of the challenge.Full Text There are four main sections, starting from the second chapter introduced the domestic and foreign investment project risk evaluation system of the main theories and models, and to sum up the author's shallow; the third chapter of the Chinese oil companies are facing overseas investment a variety of risks and the risk of qualitative and quantitative identification of the path; the fourth chapter from the perspective of subjective and objective factors of construction enterprises in China oil and gas resources overseas investment risk assessment system, including: investment climate index system, economic system and technology evaluation of three major secondary indicator system, the indicator system also contains a number of points under the target. the fifth chapter on the basis of the chapter 4 has built up the grey evaluation model of gas and oil resources business investments overseas project; chapter vi has proved the correction and practicality of that, by the risk investment cases of the group of Yanchang, especially the land block of L31/50 exploration and mining of the project owned Thailand.The author's major contribution are the gas and oil resources enterprises overseas project risk analysis and risk assessment system and model build and validation, and the serious drawback is the weakness of positive analysis because of difficult data acquisition.