Prediction of reservoir properties using the distance and quadrant trace attribute and rotated distance and quadrant inversion workflow

Accurate characterization of reservoir properties is critical for making informed decisions in exploration and production. Conventional seismic inversion workflows often rely on simplifying assumptions and may struggle to accurately predict reservoir properties in complex geologic settings. We develop a quantitative petrophysical inversion workflow based on the distance and quadrant (DQ) trace attribute and the rotated distance and quadrant (RDQ) crossplot. The DQ trace provides a new way of visualizing and interpreting seismic data that is sensitive to amplitude and amplitude-variation-with-offset (AVO) gradient variations, whereas the RDQ crossplot allows for the separation of different lithologies and fluid types based on their unique signatures in the DQ-AVO space. We incorporate a new attribute, DQ⊖px, into the inversion workflow to improve the delineation of fluid contacts. Another filter called the signed half isochron is also incorporated to improve the accuracy of thin-bed inversion results. The workflow is designed to be flexible and adaptable to different reservoir scenarios and project objectives, from reconnaissance-level screening to detailed reservoir characterization. We demonstrate the effectiveness of the RDQ inversion workflow, which is an inversion based on a model lookup catalog of extensive pseudowell information, through application to two synthetic reservoir models, showcasing its ability to accurately predict reservoir properties in high-amplitude (class 3) and low-amplitude (class 1) settings. The RDQ inversion workflow represents a significant advancement in the field of seismic reservoir characterization, providing a powerful and flexible tool for the accurate prediction of reservoir properties in a wide range of geologic scenarios.