西南石油大学学报(自然科学版)

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The Evaluation Method of Marine Carbonate Source Rocks′ Hydrocarbon Potential by Fuzzy AHP

Xiong Deming1,2*, Zhang Mingfeng1, Wu Chenjun1,2, Tuo Jincai1   

  1. 1. Key Laboratory of Petroleum Resources Research,Institute of Geology and Geophysics,Chinese Academy of Sciences,Lanzhou,Gansu 730000,
    China;2. University of Chinese Academy of Sciences,Shijingshan,Beijing 100049,China
  • Online:2015-08-01 Published:2015-08-01

Abstract:

Source rocks include mudstone,shale and carbonate rocks. And carbonate source rocks are also the basis for oil
or gas accumulation and petroleum system. The evaluation of marine source rock in the past is only focused on the study of
the physical and chemical properties. Because different basins have different marine sedimentary environments,the entrance
material types and degree of thermal evolution are different. If only the physical and chemical properties are considering,it is
difficult to objectively evaluate hydrocarbon potentiality and to rank the hydrocarbon generation potentiality of the carbonate
source rocks. So,to quickly and efficiently evaluate hydrocarbon potentiality of carbonate source rocks,we investigate and
survey the current research data,build a new evaluation index system and ensure the range of each parameter. In this paper,
there are four factors being considered,the abundance of organic matter,organic matter type,organic maturity and hydrocarbon
generation. With the criteria,we have built a new evaluation model of marine carbonate source rock which is based on fuzzy
AHP mathematics. Using this model,we can avoid the paradox in the evaluation process of the carbonate source rocks and
blindness in selecting parameters. It also helps to improve efficiency of carbonate source rocks evaluation. It is found that the
method is rapid,practical and reliable in the application of Bohai Bay Basin,so it is worth promoting.

Key words: carbonate source rocks, fuzzy analytic hierarchy process mathematics, evaluation criteria, hydrocarbon potentiality,
fuzzy comprehensive evaluation