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A fast forward algorithm of azimuthal gamma imaging logging while drilling.

Chang Zong1, Juntao Liu1, Zhiyi Liu1

  • 1School of Nuclear Science and Technology, Lanzhou University, Lanzhou, 730000, Gansu Province, China; Frontiers Science Center for Rare Isotopes, Lanzhou University, Lanzhou, 730000, Gansu Province, China.

Applied Radiation and Isotopes : Including Data, Instrumentation and Methods for Use in Agriculture, Industry and Medicine
|February 1, 2023
PubMed
Summary
This summary is machine-generated.

A new 3D fast forward method enhances gamma ray logging while drilling (LWD) by enabling rapid azimuthal imaging. This technology improves formation interface evaluation and geosteering accuracy in real-time for oil and gas exploration.

Keywords:
3DAzimuthal gamma imagingFast forward algorithmLWD

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Area of Science:

  • Geophysics
  • Petroleum Engineering
  • Computational Science

Background:

  • Logging while drilling (LWD) provides real-time formation evaluation for optimizing drilling trajectories and reservoir discovery.
  • Accurate interpretation of LWD data, particularly azimuthal gamma ray logging, is crucial for geosteering and reservoir characterization.
  • Existing forward modeling techniques can be computationally intensive, limiting real-time applications.

Purpose of the Study:

  • To develop a novel 3D fast forward method for gamma ray LWD.
  • To enable rapid azimuthal imaging and improve the accuracy of formation interface evaluation.
  • To provide a computationally efficient tool for real-time geosteering and logging interpretation.

Main Methods:

  • Utilized the spatial distribution law of gamma rays.
  • Employed the Monte Carlo N-particle code (MCNP)-driven spatial sensitivity function.
  • Developed a 3D fast forward algorithm for gamma ray LWD simulations.

Main Results:

  • The proposed method achieves fast simulations of gamma ray logging in four sectors, enabling rapid azimuthal imaging.
  • Results show high agreement with MCNP fine simulations in both vertical and high-angle wells.
  • Calculation speed is improved by tens of thousands of times with comparable accuracy.

Conclusions:

  • The new 3D fast forward method accurately and efficiently simulates azimuthal natural gamma ray logging for LWD applications.
  • The algorithm is suitable for real-time geosteering and logging interpretation, especially in high angle and horizontal wells.
  • This advancement is expected to significantly enhance reservoir encounter rates and optimize drilling operations.