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Optimize Drilling and Reduce Casing with Real-Time Well Hydraulic Monitoring Edward Tollefsen; Edward Tollefsen Schlumberger Search for other works by this author on: This Site Google Scholar Roger Bisham Goobie; Roger Bisham Goobie Schlumberger Search for other works by this author on: This Site Google Scholar Sheila Noeth; Sheila Noeth Schlumberger Search for other works by this author on: This Site Google Scholar Colin Michael Sayers; Colin Michael Sayers Schlumberger Search for other works by this author on: This Site Google Scholar Lennert Den Boer; Lennert Den Boer Schlumberger Search for other works by this author on: This Site Google Scholar Pat Hooyman; Pat Hooyman Schlumberger Search for other works by this author on: This Site Google Scholar Goke Akinniranye; Goke Akinniranye Schlumberger Search for other works by this author on: This Site Google Scholar Jay Cooke; Jay Cooke Helis Oil Ron Thomas PPI Technology Services Search for other works by this author on: This Site Google Scholar Edgar Carter Edgar Carter PPI Technology Services Search for other works by this author on: This Site Google Scholar Paper presented at the International Oil Conference and Exhibition in Mexico, Cancun, Mexico, August 2006. Paper Number: SPE-103936-MS https: //doi. org/10. 2118/103936-MS Published: August 31 2006 Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Get Permissions Search Site Citation Tollefsen, Edward, Goobie, Roger Bisham, Noeth, Sheila, Sayers, Colin Michael, Den Boer, Lennert, Hooyman, Pat, Akinniranye, Goke, Cooke, Jay, Thomas, Ron, and Edgar Carter. "Optimize Drilling and Reduce Casing with Real-Time Well Hydraulic Monitoring. " Paper presented at the International Oil Conference and Exhibition in Mexico, Cancun, Mexico, August 2006. doi: https: //doi. org/10. 2118/103936-MS Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex Search Dropdown Menu nav search search input Search input auto suggest search filter All ContentAll ProceedingsSociety of Petroleum Engineers (SPE) SPE International Oil Conference and Exhibition in Mexico Search Advanced Search AbstractRemote real-time pore pressure monitoring using a combination of Logging-While-Drilling (LWD) services coupled with a predrill pore-pressure model provides significant insight into wellbore stability and allows for optimizing casing points. This paper presents the results of a job in the Gulf of Mexico (GoM) that allowed an operator to drill confidently in a very tight hydraulic envelope and eliminate a string of casing. The real-time use of data from the LWD formation pressure and sonic tools provides confidence in geopressure predictions. These LWD measurements allow the predrill velocity-to-pore-pressure transforms established during predrill modeling to be updated while drilling using the velocities from the sonic tool and pressures from the LWD formation pressure tool. This calibrated transform is then applied to revise the predrill pore-pressure model while drilling, thus reducing the uncertainty in the pore-pressure prediction ahead of the bit. In this case, the predrill model used velocities extracted from a 3D mechanical earth model of the northern GoM based on velocities derived from checkshots and sonic logs. These velocity data are kriged to give a 3D velocity model with uncertainty estimates. Using state of the art Logging-While-Drilling (LWD) technologies, a new methodology was initiated to optimize drilling performance on a Vermillion 338 well. Continuously updated LWD annular pressure measurements effectively gauge wellbore pressures and help the driller rapidly intervene in pressure and/or geomechanical wellbore stability issues. A complete understanding of the hydraulic forces on a borehole can increase the rate of penetration, provide greater safety, minimize casing strings, reduce or eliminate kicks and formation fracturing, and allow faster and less expensive completions. The technique described in this paper allows for incorporating real-time measurements into a pre-drill model, thus reducing the uncertainty ahead of the bit and allowing the operator to extend both the 9–5/8-in. intermediate casing and 7-in. liner to TD. As a result, a critical casing string was pushed 1, 287 ft deeper than planned and a pre-planned 5-in. liner eliminated. The reduction in casing expense, as well as slim-hole drilling and completion costs resulted in a savings to the operator of approximately 1. 7 million. IntroductionIntroducing real-time LWD formation pressure measurements and pore-pressure prediction to the drilling workflow can reduce wellbore stability uncertainty during the well construction process. Failure to maintain annular pressures within the hydraulic operating range of the pore-pressure and the fracture gradient can compromise the ability to push casing seat points as deep as possible. If this limitation is not properly managed it can and may significantly increase project cost. Drilling performance on a Vermillion 338 well was optimized by applying a methodology that sends real-time streaming data received from the downhole tools through mud-pulse telemetry via satellite to an Operation Support Center (OSC), for real-time drilling operations. OSC personnel monitored and updated the wellbore hydrodynamics and earth model, incorporating observations during drilling. The results along with mud weight recommendation were then sent to the rig, and the appropriate action was taken to ensure that the surface mud weight, the equivalent circulating density (ECD) and the equivalent static density (ESD) were kept within the limits of the pore pressure and fracture gradient. In general most operators use wireline formation pressures and interval velocity data to update the compaction-driven pore pressure model at the end of the drilled section. This technique is often used in areas such as the GoM where compaction disequilibrium is the most important cause of overpressure1. This methodology works well in, young, fine-grained sediments. Particularly where the lithology remains similar (in composition and grain size) throughout the section drilled. Keywords: Reservoir Characterization, drilling measurement, reservoir geomechanics, logging while drilling, log analysis, Upstream Oil & Gas, pore pressure, information, mud weight, well logging Subjects: Pressure Management, Drilling Measurement, Data Acquisition and Automation, Reservoir Characterization, Formation Evaluation & Management, Well control, Logging while drilling, Seismic processing and interpretation, Reservoir geomechanics, Open hole/cased hole log analysis This content is only available via PDF. 2006. Society of Petroleum Engineers You can access this article if you purchase or spend a download.
Tollefsen et al. (Tue,) studied this question.