Maximizing the Value of NMR Logging while Drilling, a Combination of Laboratory Measurements and Well Log Data concept

The application of segmented, smart completion strings is expanding to enhance the hydrocarbons production along extended horizontal drains that are drilled across heterogeneous carbonate reservoir units, Offshore Abu Dhabi. Conclusive formation evaluation answers are required to support the well completion design. Nuclear Magnetic Resonance well logging while drilling "NMR-WD" supports the operations efficiency, HSE and adds a wealth of input to the completion design in a time-efficient process. A quantitative matrix independent porosity and permeability are required. In this case, we present the value of laboratory NMR measurements to maximize the value of the log interpretation process, adding a conclusive picture of the pore size distribution and reservoir quality as critical inputs. Representative core plug samples of the different major rock types have been selected along the Upper Jurassic Carbonate sequence, Offshore Abu Dhabi. The plugs have undergone Soxhlet cleaning, and routine core analysis measurements before Mercury injection capillary pressure measurements were carried out on plug trims too. Saturation of the plugs was conducted using synthetic formation brine and desaturation has been conducted over porous plate. A complete scanning of the pore size and pore throat distributions was made available and the transverse relaxation time T2 cutoff for the irreducible fluid was identified, then applied to the NMR-WD dataset. The laboratory measurements could be used to reprocess the log data, bridge the gap between the Coates permeability computation and the offset core values based on the measured benchmark T2 cutoff values. The integration between the porous plate, MICP and NMR laboratory measurements is utilized to qualify the NMR-WD as a vital tool for the future similar formation evaluation operations across the same target reservoir. NMR-WD log data interpretation is enforced with a representative pore size distribution. The quantitative matrix properties representation improves the well completion design.