Abstract

In the current market conditions, foreseeing drilling risks and mitigating all the surprises beforehand will greatly reduce development costs. Rig personnel use the risk and message object in WITSML schema and daily drilling reports to capture rig activity, findings, unfavorable events, 24 hours well summary, etc. All the information from these objects are not extracted and effectively utilized in well planning exercise. This paper focuses on a collaborative approach of using text mining and knowledge management practices to mine unfavorable events and best practices from daily drilling reports and integrating them with subsurface information management system for maintaining risk inventory and Geospatial analysis.

The proposed approach applies Information retrieval, Extraction, Clustering, Pattern Identification and Knowledge Management on daily drilling reports from offset wells to identify any data that might be relevant to drilling anomalies and best practices. Text mining converts unstructured information within the reports to structured data that can be then stored within existing subsurface data management systems. The results of text mining can be integrated with Geospatial techniques to perform risk assessment by leveraging spatially distributed large datasets from offset wells.

This collaborative approach improves extracting and sharing of the risks and best practices among experts across the globe and alerting users of upcoming risks. This approach also enables building an effective risk inventory that can be reused for future well planning purposes. Using this approach, risk assessment can be executed for every rig activity, user defined depth range, hole section / size and upcoming formation markers. The results from text mining approach can also be visualized on advanced User Interfaces providing a bird's eye view of well operations.

This approach streamlines the evaluation of risks in the planning stage of the well and enables effective collaboration between the drilling, geological and geophysical teams during execution. It also improves risk management and knowledge management practices. With the proper training, a well-defined drilling process, sufficient data and tools for interpretation; drilling a well should become a routine process.

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