With the deepening of oilfield development, increasing reliance on basic geological data, However, some of the early basic geological data in Daqing oilfield are not explained, Which hinders the construction and application of digital oil fields. For example the SaZhong development Zone, The basic geological data have the following problems: first, there is no interpretation method for the old Wells in different periods, There are problems such as missing parameters, incomplete parameters, no fine layered interpretation, and inconsistent interpretation results; Second, there are 20,662 wells with different degree of parameter missing, and there are many logging series, complex logging projects, and large amount of parameter compensation work; Third, the manual entry of the basic data for the full-parameter interpretation, Including the manual digitization of the old well logging curve, basic databases such as small layer, interlayer and boundary database are established manually, Data shortage, error and other small and trivial problems, The research is very difficult to apply. Through 8 supporting technologies of automatic error detection and rectification of basic geological data, this paper promotes the interpretation of well logging parameters from single-well software to multi-well automation. The development of reservoir parameters from incomplete and uneven to complete and uniform is realized. The interpretation of reservoir parameters is “not missing a small layer, not missing a data”, which comprehensively boosts the construction of digital oil fields.

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Research on Automatic Error Detection and Rectification Technology for Basic Geological Data

  • Xian-gao Jin,
  • Li-kai Ning,
  • Zhan-song Pei,
  • Xin Liu,
  • Wei-wei Fu,
  • Ji-kun Wu,
  • Yang Chen,
  • Wei-wei Li

摘要

With the deepening of oilfield development, increasing reliance on basic geological data, However, some of the early basic geological data in Daqing oilfield are not explained, Which hinders the construction and application of digital oil fields. For example the SaZhong development Zone, The basic geological data have the following problems: first, there is no interpretation method for the old Wells in different periods, There are problems such as missing parameters, incomplete parameters, no fine layered interpretation, and inconsistent interpretation results; Second, there are 20,662 wells with different degree of parameter missing, and there are many logging series, complex logging projects, and large amount of parameter compensation work; Third, the manual entry of the basic data for the full-parameter interpretation, Including the manual digitization of the old well logging curve, basic databases such as small layer, interlayer and boundary database are established manually, Data shortage, error and other small and trivial problems, The research is very difficult to apply. Through 8 supporting technologies of automatic error detection and rectification of basic geological data, this paper promotes the interpretation of well logging parameters from single-well software to multi-well automation. The development of reservoir parameters from incomplete and uneven to complete and uniform is realized. The interpretation of reservoir parameters is “not missing a small layer, not missing a data”, which comprehensively boosts the construction of digital oil fields.