Abstract

Although the Sulige gas field has been developed for several years, accurate reservoir classification, evaluation, and prediction is still a worth-exploring scientific issue as this is a necessary procedure which could give the guidance of well deployment during later gas field development. Here, based on the analysis of lithological features and diagenesis, we give an evaluation of gas reservoirs in the western Sulige gas field by using the improved method of gray relational analysis. Our results show that the study area Su-54 block is dominated by low permeability and low porosity litharenite and lithic silicarenite with clear evidence of strong diagenesis processes. Compaction is believed to be relatively strong due to the great burial depth and destroy most of the primary pores. Based on the premise of a lower limit of an effective reservoir, we select five parameters (permeability ( K ), porosity ( Φ ), effective sand thickness ( M ), effective sand/sand thickness ratio ( D ), and gas saturation ( S g )) to calculate the correlation coefficient, relational degree, and index weights for reservoir quality evaluation. By weighted gray correlation theory, the dynamic testing data—effective thickness of gas production data—is used as mother sequences. The results show that the predicted favorable areas for gas exploration and development coincide well with sedimentary and sand body distribution (e.g., point bars and central bars) in the study block; well blocks such as s372, s373, s374, and e24 could be future key development targets. This also indicates a broader application of the gray relational analysis to quality evaluation and distribution prediction of reservoirs. Therefore, our findings could give a new theoretical and practical guidance for the later gas exploration and development, for the search of hidden stratigraphic lithological traps, and for the improvement of the proven rate of oil and gas resources in this area.

Highlights

  • With recent improvements in oil and gas exploration, the prediction and evaluation of exploration areas are becoming increasingly important, especially in unconventional tight reservoirs [1,2,3,4,5,6]

  • A reservoir is considered to be effective when its permeability is greater than 0:1 × 10−3 μm2, porosity is greater than 5%, and the gas saturation is greater than 50%

  • High-quality reservoirs of P2shh8 and P1s1 in the study area are distributed along the direction of rivers to a certain extent

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Summary

Introduction

With recent improvements in oil and gas exploration, the prediction and evaluation of exploration areas are becoming increasingly important, especially in unconventional tight reservoirs [1,2,3,4,5,6]. Based on general geological characteristics (such as tectonic background and stratigraphic characteristics), lithological features, diagenesis, and other reservoir physical characteristics of the whole area, we give a comprehensive evaluation after selecting five parameters: permeability (K), porosity (Φ), effective sand thickness (M), effective sand and sand thickness ratio (D), and gas saturation (Sg). Of these parameters, the effective thickness of gas production data is used as the mother sequence because it reflects the reserve abundance. The relatively independent reservoir is selected, and the potential gas areas in He-8 member (P2shh8) and Shan-1 member (P1s1) are forecasted for further exploration and deployment

Geological Setting
Reservoir Characteristics
The Application of Gray Relational Analysis in Reservoir Evaluation
The Process of Gray Relational Analysis
X X ð0Þ 1
II III
Reservoir Prediction
Findings
Summary and Conclusions
Full Text
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