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Field Data Analysis and Modeling of Drillstring Vibrations to Identify Inefficiency in Deep Geothermal Drilling

Conference · · Paper Number: ARMA-2021-2015
OSTI ID:1844941
 [1];  [2];  [2];  [3];  [2]
  1. Oklahoma State Univ., Stillwater, OK (United States); Oklahoma State University
  2. Oklahoma State Univ., Stillwater, OK (United States)
  3. University of Oklahoma
One challenge that hinders efficient drilling and causes downhole tool failures is severe drillstring vibrations. The objective of this paper is to identify the root cause of drillstring vibrations in deep geothermal wells and investigate their effect on drilling performance using data analytics and vibration modeling. A near-bit sub was utilized to collect vibration data, where the burst data was used to obtain the drillstring torsional natural frequency. The data showed that the highest lateral acceleration and stick-slip severities (SSS) occur at the higher mechanical specific energy (MSE) range, while the low vibration levels were encountered in the optimum range of the MSE curve. The elevated SSS levels consistently occur at the low to mid-range of applied RPM and the highest sonic velocity. Additionally, the lateral acceleration levels are higher at the low to mid-range of the applied RPM. The effect of drillstring vibration on drilling performance was recognized by the presented MSE analysis.
Research Organization:
Oklahoma State University
Sponsoring Organization:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Geothermal Technologies Office
DOE Contract Number:
EE0008603
OSTI ID:
1844941
Report Number(s):
Paper Number: ARMA-2021-2015
Conference Information:
Journal Name: Paper Number: ARMA-2021-2015
Country of Publication:
United States
Language:
English