Reservoir Evaluation and Development ›› 2020, Vol. 10 ›› Issue (1): 123-128.doi: 10.13809/j.cnki.cn32-1825/te.2020.01.020

• Conventional Oil and Gas • Previous Articles    

A mud invasion correction method based on RPM logging

LI Yuelin1,XU Sihui2,WANG Lijuan1,YUE Biao3,ZENG Tao1,ZHANG Gong4,5   

  1. 1. CNOOC Zhanjiang branch, Zhanjiang, Guangdong 524057, China
    2. Oilfield Business Department, CNPC Tarim Oilfield Company, Korla, Xinjiang 841000, China
    3. Guizhou Zhengye Engineering Technology Investment Co., Ltd., Guiyang, Guizhou 550000, China
    4. Key laboratory of Exploration Technologies for Oil and Gas Resources(Yangtze University), Ministry of Education, Wuhan, Hubei 430100,China
    5. College of Geophysics and Oil Resources, Yangtze University, Wuhan, Hubei 430100, China
  • Received:2019-02-25 Online:2020-02-26 Published:2020-02-04

Abstract:

As the actual logging situation is complex, some resistivity curves of mud invasion wells only contain resistivity curve while drilling. And as the mud invasion is not complete during the measurement, conventional mud invasion correction methods can not be applied to the mud invasion correction in this kind of wells. In order to solve this problem, a new correction method is proposed, that is, the water saturation are corrected directly with the relation between water saturation before and after mud invasion according to the improved volume model. The water saturation measured by RPM is corrected directly to effectively avoid the inapplicability of resistivity logging data. Then the correction model is applied to the interpretation of logging data, and it is found that the interpretation conclusion is consistent with the actual outputs. The interpretation results of mud invasion correction by resistivity curves while drilling is corrected, which verifies the feasibility of the correction method. This method provides a new idea for the mud invasion correction.

Key words: while drilling, mud invasion, volume model, water saturation, RPM(Reservoir Performance Monitor)

CLC Number: 

  • P631.8