Quantitative evaluation of tight gas reservoir classification based on analytic hierarchy process: A case study of Penglaizhen Formation gas reservoir in Xinchang Gas Field
ZHOU Feng, HUANG Shilin, LI Xiaoming, et al. Quantitative evaluation of tight gas reservoir classification based on analytic hierarchy process: A case study of Penglaizhen Formation gas reservoir in Xinchang Gas Field[J]. Petroleum Reservoir Evaluation and Development, 2024, 14(3): 468-474.
ZHOU Feng, HUANG Shilin, LI Xiaoming, et al. Quantitative evaluation of tight gas reservoir classification based on analytic hierarchy process: A case study of Penglaizhen Formation gas reservoir in Xinchang Gas Field[J]. Petroleum Reservoir Evaluation and Development, 2024, 14(3): 468-474. DOI: 10.13809/j.cnki.cn32-1825/te.2024.03.016.
Reservoir evaluation serves as a foundational aspect in the development of tight sandstone gas reservoirs
with the accuracy of these evaluations critically influencing potential development analyses. The selection of evaluation methodologies is pivotal in ensuring the reliability of development index predictions and the scientific integrity of adjustments and deployment strategies. Addressing the challenges inherent in evaluating tight sandstone gas reservoirs—such as numerous influencing factors
ambiguous controlling factors
unknown parameter sensitivity
and unquantified evaluation indices—this study develops a quantitative analysis model using the analytic hierarchy process(AHP). This approach simplifies complex issues and quantifies qualitative aspects
facilitating a more structured evaluation. Utilizing geophysical data
logging interpretation
and geological fundamentals as criterion indices
the study constructs a judgment matrix to establish a quantitative evaluation model. This involves determining index weights
conducting consistency tests
and deriving a weight vector. The model is then validated through correlation analysis between the recoverable reserves
open flow
and evaluation values of actual wells. Findings demonstrate the method's reliability and further refine the criteria for reservoir classification. The evaluation indices defined through this research enhance the understanding of “sweet spots” for tight sandstone gas reservoir development within the same region
improve the precision of reservoir prediction
and aid in the strategic deployment of development activities. Ultimately
this study offers valuable insights and a methodological framework for the efficient development of similar gas reservoirs.