China Petroleum Exploration ›› 2018, Vol. 23 ›› Issue (6): 97-106.DOI: 10.3969/j.issn.1672-7703.2018.06.011

Previous Articles     Next Articles

Looking for high-production carbonate reservoirs using logging data: a case of study on Jurassic in Shakan oilfield, Kurdish region, Iraq

Wu Guohai1, Lin Yaping2, Luo Man2, Yu Mingfa1, Mao Haitao1, Sun Liguo1   

  1. 1 PetroChina Great Wall Drilling Company;
    2 PetroChina Research Institute of Petroleum Exploration & Development
  • Received:2017-12-29 Revised:2018-09-13 Online:2018-11-15 Published:2018-11-13
  • Supported by:
     

Abstract: In the Shakan oilfield, the productivities of the carbonate reservoirs are very different in different intervals and different wells, making petroleum geologists very confused. It is urgent to solve how to evaluate the reservoirs, and how to identify the high-production reservoirs. Analysis of cores taken from well test intervals, conventional physical properties, casting sections and regional geological data indicates that fractures are developed, and the logging value of uranium is abnormally high in a peak shape in the high-production reservoirs, but the fractures are less developed and the logging value of uranium is low in the low-production reservoirs. According to the geological structures, formation water and reservoir microscopic characteristics, the relationship between uranium and reservoirs has been analyzed, and the result shows that uranium is rich in fractured reservoirs, and the high uranium value is positively correlated to the fracture development. Based on natural gamma ray spectrometry curves and conventional logging data, it is possible to accurately identify high-production fractured reservoirs, and predict favorable reservoirs in the Shakan oilfield. This conclusion has been verified in Wells S -10 and S-12. It is an economical and practical method for looking for high-production fractured reservoirs.

 

Key words: carbonate rock, fracture, natural gamma ray spectrum, uranium, high-production reservoir

CLC Number: