Open Net Zero logo
SMP and Fracture Modeling
OwnerNational Renewable Energy Laboratory (NREL) - view all
Update frequencyunknown
Last updatedover 1 year ago
Format
Overview

The problem of loss circulation in geothermal wells is inherently challenging due to high temperatures, brittle rocks, and presence of abundant fractures. Because of the inherent challenges in geothermal environments, there are limitations in selecting proper lost circulation materials (LCMs). Traditional LCMs such as calcium carbonates that are commonly used in the oil and gas drilling may be softened and prone to failure during geothermal drilling. Moreover, evaluating the performance of different LCMs for geothermal drilling requires unique testing setups, which is expensive, and complicated to run due to harsh environmental conditions of geothermal systems. Herein, we present a numerical approach to simulate LCM transport and bridging through fractures in downhole conditions. By discrete element methods, each individual particle trajectory, and their interactions with the fluid and surrounding particles are incorporated into the analysis. To validate the model, we used experimental results acquired from a high-temperature flow loop system built specifically for this purpose. We took a further step in this work and considered LCM particles that are made from a shape memory polymer (SMP). These particles start expanding and adhering to each other in downhole conditions. The use of SMP is shown to be advantageous in sealing large fractures (3 mm aperture). We demonstrated how numerical modelling may supplement laboratory tests to show initiation of the bridging process, fracture plugging or even its failure. Using the proposed methodology may significantly reduce the number of experiments needed to find an effective LCM recipe, hence drillers can save time and costs by assessing different LCM systems numerically.

CFDDEMLCMSMPcomputational fluid dynamicsdiscrete element methodsdrillingeconomicenergyfracture sealinggeothermallost circulationlost circulation materialmodelingprocessed datashape memory polymertechnology
Additional Information
KeyValue
dcat_issued2021-10-01T06:00:00Z
dcat_modified2023-06-22T18:01:13Z
dcat_publisher_nameUniversity of Oklahoma
guidhttps://data.openei.org/submissions/5895
ib1_trust_framework[]
language
Files
  • DOCX
    PSD and Effectiveness in Fracture Sealing.docx
  • DOCX
    Simulation Setup.docx
  • DOCX
    Optimal Bimodal Distribution.docx
  • PDF
    Modelling of Cohesive Expandable LCMs for Fractures with Large Apertures.pdf
Share this Dataset
smp-and-fracture-modeling
Access and Licensing
Access conditionsAccess control: Unknown
License conditionsLicense: