The SPWLA Permian Basin Chapter

Technical Lunch and Learn
  Tuesday, January 23, 2024 at 11:30 - 1:00 PM CST
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“Customized Thin Bed Analysis Workflow Applied to Low Resistivity Pay in Permian Clastics”
By: David Allen

Abstract:
Low resistivity pay is a perennial challenge in clastic intervals of the Third Bone Spring formation in the Permian Basin. Water saturations from resistivity are high, and it is difficult to identify productive intervals or to assess oil in place. We show that the primary cause is thin water bearing layers interbedded with the productive layers. We propose a new bimodal resistivity anisotropy model and workflow to better characterize the formation.
A multi-well core-log integration study was conducted to understand the cause of the low resistivity pay and develop a workflow to address it. High resolution core analysis clearly shows the occurrence of beds of varying shaliness on the scale of inches corresponding to intervals of interest with high apparent water saturation. Increased resistivity anisotropy in these intervals indicates the presence of alternating high resistivity and low resistivity layers. Overall lithology, fluid typing and pore size indications from 2D NMR, were integrated to develop a petrophysical model for these formations, leading to a workflow for their evaluation.
Water saturation and inferred lithology of the high resistivity beds are computed, along with quantification of the fraction of interbedded water bearing layers. This more complete analysis forms an improved basis for decision making. The overall proportion of silt and shale in the formation are estimated from the clay volume from elemental spectroscopy logs. The silt and shale are apportioned between water bearing and resistive beds assuming that the resistive beds are more likely to be silt. We thus obtain an indication of the volume of silt in the resistive layers, a useful indicator of reservoir quality, by the degree to which the overall volume of silt exceeds the fraction of water bearing layers.
Another key step is high resolution inversion of triaxial induction data. This reduces the impact of high resistivity carbonates on the measured vertical resistivity, compared with conventional lower resolution one-dimensional (1-D) inversions.
This model is a departure from resistivity anisotropy analyses previously used to evaluate thinly bedded formations based on a bimodal sand-shale model in other geological environments. The sand-shale model, in which the hydrocarbons are assumed to be in the sand layers, cannot be directly applied to these formations because the shales are often the zone of interest: they can and do contain producible hydrocarbons.

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