The varied applications of formation pressure data analysis have been realized using state-of-the-art acquisition methodology. The methodology which involves customized workflows in order to achieve the objectives for Formation Pressure While Drilling (FPWD) acquisition has reduced stationary time, improved data precision, ensured better depth management and reduced tool lost-in-hole.
The case studies are wells located in various offshore and deep-water fields in the Gulf of Guinea. Well types include exploration, appraisal and development. Well architecture includes vertical, slightly deviated and highly deviated wells. The objectives for FPWD in these wells ranged from optimizing drilling, formation evaluation, understanding extent of depletion, acquiring information for completion decisions, and ultimately to aid in safe well drilling.
In one of the exploratory wells, the FPWD tool was used to validate wireline formation pressure measurements. The study not only shows that there were cost savings in this methodology, but also reliable information about the reservoir was available in real time to make critical decisions before the bottom-hole-assembly was pulled out of hole. In one of the appraisal wells, data obtained while drilling enabled safe drilling to total depth (TD) with optimum mud weight, and also effectively determined fluid types and contacts. In the high-angle development wells, FPWD was effectively used to gather information to aid in reservoir characterization and management.
This paper demonstrates the suitability of FPWD applications in exploratory, development and production wells. It also shows how cost savings can be achieved by deploying formation-pressure-while-drilling technology for drilling-related applications, formation evaluation and reservoir management.
The paper also demonstrates the flexibility of FPWD for different well architecture and well conditions. Having the data in real time aids in quick operational and completions decision making based on the objectives of acquiring the data.