The design of geological exploration with side track drilling

Varushkin, S.V.; Khakimova, Zhanna A.

doi:10.15593/2224-9923/2018.3.2

Cited by 1 publication

(1 citation statement)

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“…In order to analyze the relationship between the development effect of sidetracking wells and many influencing factors, as well as to further reveal the sensitivity degree of influencing factors, scholars around the world have carried out a series of studies. Varushkin analyzed the degree of influence of reserves and geological factors for sidetracking wells on the design and decision-making of sidetracking well development (Varushkin and Khakimova, 2018). Chen et al (2021) carried out the planning and design of sidetrack drilling branch wells in the study area, through geological research and numerical simulation.…”

Section: Introductionmentioning

confidence: 99%

Analysis of sensitive factors for sidetrack drilling in water-flooded oil reservoirs: data mining based on actual field data

Wang,

Rui,

Liu

2023

Front. Energy Res.

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Sidetracking technology is an important measure to increase production and efficiency, too many complex factors affect the development effect of sidetracking wells. At present, most of the research on sensitive factors of sidetracking wells is based on theory, numerical simulation, or application analysis of limited wells. In this study, we adopt a data-driven research paradigm to conduct data mining studies on the actual data of a large number of sidetracking wells accumulated in the oil fields. Actual data from more than 130 sidetracking wells in oil fields within 5 years is collected and cleaned. An index system including 25 indicators for the analysis of sidetracking effect and a sample set of influencing factors are established. On this basis, scatter plots between various influencing factors and sidetracking development effect parameters are drawn to achieve intuitive qualitative understanding through visualization. The correlation coefficients between each parameter are calculated by Pearson and Spearman correlation analysis methods to quantitatively characterize and analyze the linear and nonlinear correlation degrees between each indicator. A feature importance calculation method based on a decision tree is constructed to calculate and rank the importance of each influencing factor for the development effect of sidetracking wells. The results show that compared with Pearson, the Spearman correlation coefficient can more accurately reflect the complex nonlinear correlation relationship between each indicator. Four indicators such as sidetracking target point position show medium or above correlation with sidetracking development effect. Through the calculation of the feature importance of the decision tree, it can be known that the importance of remaining recoverable reserves to the development effect of sidetracking wells exceeds 10%. The importance of six indicators, such as perforation thickness, is small, all less than 3%. This research work can provide guidance for future sidetracking well design and development work.

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Section: Introductionmentioning

confidence: 99%