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Article Navigation >  PETROLEUM GEOLOGY & EXPERIMENT  > 2018  >  40(2): 274-279
LÜ Zhou, WANG Yupu, LI Li, JI Weiping, HOU Xiulin, LIU Dawang, GE Zhengting, LI Yang. Application of stratified sampling method in core plug sampling[J]. PETROLEUM GEOLOGY & EXPERIMENT, 2018, 40(2): 274-279. doi: 10.11781/sysydz201802274
Citation: LÜ Zhou, WANG Yupu, LI Li, JI Weiping, HOU Xiulin, LIU Dawang, GE Zhengting, LI Yang. Application of stratified sampling method in core plug sampling[J]. PETROLEUM GEOLOGY & EXPERIMENT, 2018, 40(2): 274-279. doi: 10.11781/sysydz201802274
shu

Application of stratified sampling method in core plug sampling

doi: 10.11781/sysydz201802274
  • 1.

    Research Institute of Petroleum Exploration & Development, PetroChina, Beijing 100083, China

  • 2. Chinese Academy of Engineering, Beijing 100088, China

  • 3. China Petrochemical Corporation, Beijing 100728, China

  • 4. Changqing Oilfield Company, PetroChina, Xi'an, Shaanxi 710018, China

  • Received Date: 2017-06-15
  • Rev Recd Date: 2018-01-10
  • Publish Date: 2018-03-28
    Abstract
  • The data obtained from reservoir core experiments are the basis of geological research, logging interpretation and oil and gas reservoir engineering calculations. The selection of a sample plug is the first step in a reservoir core experiment, and its sampling accuracy has an important effect on experiment results. When the sample number is limited, the conventional random sampling cannot meet the requirements of measurement accuracy. In view of the limitations of the traditional sampling methods, this paper described the principle of a stratified sampling method, and discussed its selection criteria. Based on measured data, the Monte Carlo algorithm was implemented using Visual Basic programming, and the measurement accuracy of random sampling and stratified sampling was compared. The results showed that, the data accuracy of stratified sampling was better than that of simple random sampling under the same sampling quantity. Therefore, according to the requirements of different experiments, a selection method of core plug samples based on stratified sampling was proposed. The method can estimate sampling accuracy and design a reasonable number of samples accordingly. When the number of experiment samples is limited, the sampling accuracy can be improved effectively.

     

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