Drilling efficiency improvement practice based on big data analysis technology
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Abstract
In order to improve the drilling efficiency and ensure the operation safety of Bohai Oilfield, this paper established a big data analysis platform of drilling and completion integrating data preparation, data processing, data visualization and deep analysis. Then, the mud logging parameters of the first wells of Bohai P Oilfield were selected and 13 working conditions of drilling operation were discriminated automatically. And combined with daily report system, the visual panels of working condition and 3D well trajectory were prepared. Based on data relationship and deep analysis of least square method based prediction model, drilling parameters were optimized and monitored in real time. Thus, the drilling efficiency of the second wells is improved and the deep integration of big data analysis and drilling and completion operation is realized. The platform is expandable and can be operated easily, so this technology has strong generalization and can provide valuable experience for the intelligent transformation of drilling and completion engineering.
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