In a low-permeability Middle East carbonate reservoir, geologists, petrophysicists, and reservoir and drilling engineers had multiple requirements to optimally place the well, characterize and model fractures and faults, and evaluate the petrophysical attributes and cutoffs of the formation. A suite of logging-while-drilling (LWD) sensors was combined into a single bottomhole assembly (BHA) with the objective of acquiring the information needed to update the static model.
An integrated study was then performed using production logs, which led to an improved dynamic model within this sector of the reservoir. An additional objective was to evaluate the contribution from each sensor for future applications in this field, or in similar fields. Based on this assessment, a workflow was agreed upon for optimizing the petrophysical data acquisition program and conveyance methods. From a scientific point of view, the comparison of the various logs and images helped to better understand the response of the various sensor measurements for this particular field.