ZHANG Yu. Reliability study of anomalies identified through logging by dipole shear-wave remote detection in carbonate formations [J]. Petroleum Drilling Techniques,2022, 50(5):112-116. DOI: 10.11911/syztjs.2022088
Citation: ZHANG Yu. Reliability study of anomalies identified through logging by dipole shear-wave remote detection in carbonate formations [J]. Petroleum Drilling Techniques,2022, 50(5):112-116. DOI: 10.11911/syztjs.2022088

Reliability Study of Anomalies Identified Through Logging by Dipole Shear-Wave Remote Detection in Carbonate Formations

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  • Received Date: September 14, 2021
  • Revised Date: June 05, 2022
  • Available Online: November 03, 2022
  • Vertical and horizontal wells were designed and drilled in carbonate formations for the logging by dipole shear-wave remote detection to study the reliability of identified anomalies in logging data obtained by this way. The interpretation results of the logging data revealed that logging by dipole shear-wave remote detection could accurately identify the anomalies and their orientations in the vertical wells in carbonate formations, and their locations identified in horizontal wells were reliable. The logging by dipole shear-wave remote detection for logging were conducted in two wells of Tahe Oilfield and Shunbei Oil & Gas Field, and the locations of anomalies identified through logging were consistent with those from the acid-fracturing treatment curves. The research results indicate that logging by dipole shear-wave remote detection can accurately identify anomalies in carbonate formations, which can provide support for the evaluation and development of carbonate reservoirs.

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