Ultra Deep Reservoir Mapping Allowed for Successful Real-Time Azimuthal Geo-Steering Decisions in Channelized Reservoir Structure

Abstract

Abstract This paper presents a proactive geosteering approach in stacked channels using Ultra-Deep Azimuthal Resistivity (UDAR) 360 technology. This technology provided the ability to map reservoir quality in 360 and allowed optimum azimuthal steering decisions to maximize exposure. Three novel approaches are introduced in this paper; the first was the use of high-resolution 1D reservoir mapping with Deterministic Parametric inversion (DPI), enabling comprehensive structural delineation without compromising drilling speed. The second was the 2D Transverse inversions in real-time, allowing for interpretation of the properties left/ right around the wellbore. The last was the real-time (mapped/inverted) resistivity volumes delineating the channel sand structure. Combining these novel approaches allowed for a full suite of UDAR inversions that was used to make the real-time azimuthal geosteering decision in this field. The UDAR inversions enabled the geosteering team to map boundaries, optimize the well placement in each target channel, and map the presence of fluid contacts. The subject well is located on the flank of the field and the structure. This presented challenges in characterizing the target properties, such as continuity, fluid movement (lateral water encroachment and water fingering), and target channel recognition. The real-time UDAR 2D Transverse inversions and resistivity volumes were used to make azimuthal geosteering decisions to place the well in the best target zone. These real-time approaches enabled a complete azimuthal geosteering service 360 degrees around the wellbore. This allows for optimization of the well position in the best quality zone in any subsurface direction around the wellbore. This deployment represents a landmark in interactive azimuthal geosteering decision-making using UDAR technology in real-time and demonstrates the close collaboration, teamwork, and integration necessary to drive innovation. The success also enabled the project team to quantify the savings of carbon footprint from both operational efficiencies, digital transformation, and productivity. Integrating the 1D / 2D inversions and the resistivity volumes allowed for a full interpretation of the target structure, exceeding the development goals.