The Denver-Julesburg Basin in northern Colorado is an unconventional hydrocarbon play utilizing horizontal wells to access several targets, known locally as benches, including the Niobrara B-Chalk. The need to navigate and optimally place completion packers in the unconventional play with complex, laminated rock structure and sub-seismic faulting is important to effectively stimulate reservoir rock for increasing production potential. While bulk gamma is primarily used to correlate the formation, more-advanced real-time logging-while-drilling (LWD) technology is proposed to navigate effectively and maintain the wellbore within the specific target chalk. High-resolution LWD electrical images are also employed to optimize the completion strategy and confirm real-time interpretation. This paper illustrates how real-time LWD information can be used to improve overall production by using this data-driven approach. An azimuthal gamma ray image was used to determine formation bed dip and stratigraphic complexity, along with two different resistivity measurements to correlate position within the reservoir. The data was transmitted in real time to a remote geo-steering center where a reservoir navigation engineer incorporated the data into the geological model and provided the operator with real-time steering recommendations for remaining within the zone of interest. In addition, the data were used to identify faults and interpret the fault-throw direction and distance. The well was drilled with 85% of the lateral section placed in a 10-ft-thick target zone, compared to fewer than 50% in offset wells navigating with gamma only. This was accomplished despite crossing over one sub-seismic fault and relative formation dips that varied from 88 to 92 degrees. The improved net-to-gross was a result of the utilization of azimuthal gamma, multiple propagation resistivity, and the real-time reservoir navigation service (RNS). The increased "in-zone" footage indicated this method provided a significant advantage over gamma-only measurements when navigating such complex and faulted formations. Post-well, the high-resolution LWD electrical image logs were used to confirm the faults and determine packer placement for optimal completion efficiency. This lesson learnt can be applied to most unconventional plays around the world.
Application of Real-Time Reservoir Navigation and High-Definition Electrical Imaging Services for Enhanced Well Placement and Optimal Completion Design
Thomas, Mark G., Gupta, Rajdeep , Martin, Stephen J., and Shane D. Hammons. "Application of Real-Time Reservoir Navigation and High-Definition Electrical Imaging Services for Enhanced Well Placement and Optimal Completion Design." Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, Denver, Colorado, USA, August 2014. doi: https://doi.org/10.15530/URTEC-2014-1933458
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