Unveiling Reservoir Architecture and Characterization Using Ultra-HD Bed Boundary Mapper

Drilling a well in one specific layer is challenging. In the subject well, multiple zones have been determined in the target reservoir. Each zone has its own property and distribution. The objective of this paper is to unveil the reservoir architecture and formation characterization using the latest logging-while-drilling (LWD) technology in ultra-high definition boundary orientation. The methods presented in this paper are to integrate field geological knowledge, wellbore centric LWD data (Images and Triple Combo) and Ultra High Definition Bed Boundary Mapper that extend EM measurements, which allows a better fine-tuning structure and formation resistivity interpretation around the wellbore, independent of mud type. Along with those measurements, a new resistivity inversion has been developed that computes geometrically corrected resistivity for both vertical Rv, and horizontal Rh from bed boundary locations, and formation relative dip. In addition, formation relative dips and boundary positions from the inversion are in good agreement with relative dips from other sources such an image analysis. The tool deployed successfully and enabled optimum reservoir exposure in a good porosity zone. Along the boundary orientation for geosteering purposes, the technology was able to map another two porous zones within a 20 ft depth of the investigation. The qualitative formation resistivity, both Rh and Rv, were also used for formation evaluation in this reservoir at the well location, which brought the robust information value, especially in high angle and horizontal (HA/HZ) wells because of the complicated tool responses when crossing boundaries. Deep directional EM tools are beneficial for inversions to derive formation properties since they provide more measurements and information about the formation resistivity without the need to cross layer boundaries. Data validation done through several validations by comparing the RhRv value with the vertical well resistivity. Other than that, we also did a general approach for solving formation parameters to search through all possible model scenario and find the one that best matches the actual 2 Mhz 28 and 16-in. coaxial propagation responses using a 2-layer model. Initial run results are very encouraging, demonstrating the value to improve efficiency in reservoir characterization and interpretation. The technology enables better understanding the reservoir architecture and formation evaluation through several application from single LWD measurement.