THE FINAL PIECE OF THE PUZZLE: 3-D INVERSION OF ULTRA-DEEP AZIMUTHAL RESISTIVITY LWD DATA

摘要

Optimal well placement requires three-dimensional (3-D)spatial knowledge of the reservoir formation andfluids. Current one-dimensional (1-D) inversions ofultra-deep azimuthal resistivity logging-while-drilling(LWD) data recover formation boundaries above andbelow the wellbore, which are stitched together to formpseudo-2-D models (or “curtain plots”) along thewellbore. However, 1-D modeling, by definition, doesnot account for any lateral variations due to changes information dip, lithology, or fluid saturations, such thatany actual 2-D or 3-D variations manifest ambiguouslyas artifacts or distortions in the pseudo-2D models.These lateral variations can have a significant impact onwell placement and subsequent production-relateddecisions, such as where a change in well azimuth couldbe more beneficial than a change in inclination duringdrilling. An accurate and computationally efficient full3-D inversion of ultra-deep azimuthal resistivity LWDdata, capable of capturing arbitrary and multi-scalereservoir complexity, would yield 3-D earth models thatcould provide as-yet-unrealized insight for reservoircharacterization and well placement.This paper presents the industry’s first such 3-D inversion of ultra-deep azimuthal resistivity LWD data. The case study describes a complex reservoir with significant sub-seismic faulting and a long history of water injection, resulting in significant fluid substitution within the reservoir formations. The complexities in this reservoir make it both an ideal candidate and a difficult, yet critical, first test to prove the value of 3-D inversion. In a well where major faults crossed the well path at an oblique angle, in a zone affected by complex water flooding, the resistivity boundaries indicated by 1-D inversions alone did not adequately explain the reservoir state. Analysis of density image data confirmed that the faults crossed by the well were both oblique (i.e. non-perpendicular to the well path) and tilted in the vertical plane. Several of these structures acted as a barrier to the migration of fluids and showed a sharp resistivity boundary from oil to water. This enabled mapping of the resistivity boundaries distant from the well path using ultra-deep resistivity LWD data. Combining the information from these tools with the four-dimensional (4-D) seismic data enabled validation of the 3-D inversion.The 1-D inversion yielded valuable information to assist in well placement, but the 3-D inversion provided significantly more insights, which will directly affect future reservoir-characterization and well-placement operations. It is very clear from the 3-D inversion that a tilted oil-water contact near the heel of the well results in horizontal, as well as vertical, changes in the fluid distribution, such that an azimuthal adjustment of the well path would have resulted in significantly greater reservoir exposure. Faults separating zones of water invasion, which crossed the well at an oblique angle, are clearly visible, indicating the position of the oil-water contact a significant lateral distance from the wellbore, which is vital information when determining how to complete the well and predict future production.