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Towards 3D Reservoir Mapping Using Deep Directional Resistivity


Date: November 29, 2018
Location: 1500 Post Oak Blvd. Houston, TX 77056
1st-floor Engagement Center
Time: 11:30 am -1:00 pm                          
Parking: 1500 Visitors’ Parking
Room Capacity: 36
Lunch Cost: $15 and $10 for students and in transition professionals.
Please register by Nov 28 12 pm to reserve lunch. 

Officer Contact: Emmanuel Oyewole, 770-778-6738 or Emmanuel.Oyewole@bhpbilliton.com


Towards 3D Reservoir Mapping Using Deep Directional Resistivity
 
Since its introduction more than a decade ago, the deep directional resistivity technology for 
proactive geosteering had revolutionized well placement efficiency, maximizing the reservoir contact, with direct impact on cost and recovery. We will overview the status of the measurement and related interpretation technology, including recent progress towards the 3D reservoir mapping.
 

Currently the real-time interpretation of deep directional resistivity measurements is based on continuous inversion for a locally 1D layered resistivity profile, generating an approximate 2D resistivity map along the well path. The novel model-driven inversion methodology provides a high-definition reservoir map suited for narrow strata delineation and early reservoir detection to be used in well placement operation. By integrating the prior field geology knowledge and information from offset wells as reference patterns, the algorithm is able to consistently and accurately map finer features of the layered formations further away from the wellbore, resulting in an enhanced and expedited real-time steering decision-making process. A field example illustrate how interpretation helped to better understand the well production behavior
 
All practical inversion approaches so far were ignoring the information on lateral changes of the reservoir, only providing a longitudinal 2D snapshot of the 3D reservoir structure around the well. The newly developed deep pixel-based 2D azimuthal imaging inversion is able to map lateral reservoir heterogeneities. It takes advantage of full 3D sensitivities of deep directional resistivity measurements. When applied in real-time while drilling, it
haspotential to significantly reduce drilling hazards as it will enable true 3D steering towards or away from lateral targets. Imaging was applied to consistent imaging of faults on a side of the wellbore, when approaching, crossing and moving away from the fault.
 
We also present an innovative integration methodology to build a realistic, high resolutiongeomodel
reconciling all the subsurface measurements made at different scales, including real time LWD measurements, 1D and 2D resistivity inversions, interpreted dips and time lapse seismic data. The measurement integration significantly improves the understanding of the 3D reservoir structure and fluids distribution, benefiting the planning and drilling of horizontal wells, especially to optimize geosteering for productivity of infill wells in the complex settings of mature fields.
 
 
Dzevat Omeragic joined Schlumberger in 1997 as a tool physicist in Sugar Land Technology Center. He is currently a Scientific Advisor and also manages the Reservoir Steering Program at Schlumberger-Doll Research, Cambridge, MA. His activities are in the area of resistivity and EM logging, computational EM, inverse problems, 3D reservoir mapping
and advanced interpretation workflows integrated with geo-models. Besides deep directional resistivity tool and sensor designs and interpretation, Dzevat contributed to the development of answer products for EMLA, first deep EM look-ahead measurements, as well as oil-based mud resistivity imagers, EM corrosion, nuclear density interpretation and several other LWD and wireline EM and resistivity services. He holds 49 US patents and has published over 100 journal and conference papers.


 
Total Occupancy : 40
Occupancy Available : 30
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