Real-time interval transit time extraction method based on particle swarm optimization

A particle swarm optimization and acoustic time difference technology, which is applied in the field of oil drilling and logging, can solve the problems of difficulty in implementation, large amount of calculation, easy to fall into local minimum, etc., and achieve the effect of reducing the amount of calculation and extracting quickly and accurately.

Active Publication Date: 2018-02-09
中石化石油工程技术服务有限公司 +3
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AI Technical Summary

Benefits of technology

This technology uses an improved version of Random Search (RSS) algorithms with better efficiency compared to previous methods like Time Difference Compensation or Least Squares techniques. It does away from requiring initial conditions at certain points during each iteration process instead relying solely upon average values obtained through these processes over multiple timeslots. By doing just one partial computation per second, it saves considerable computational resources while still providing accurate results.

Problems solved by technology

Technological Problem: Acoupled Logging While Drillability Gas Well SWD Technology Overcomes the difficulty associated with acquiring long term logings at great depths without being able to send them all over again or even if they were sent later. Current methods involve complex calculations involving multiple steps, making interpretation challenged. Sonic Time Distance Interval Analysis Technique provides better analysis capabilities than traditional techniques like logs but requires expensive equipment. Artificial Intelligence Algorithm Based On Shearing Wave Thickening Measurement (SWTM), also called Quantum Layer Mean Time Interference Method (QLIFTI).

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  • Real-time interval transit time extraction method based on particle swarm optimization
  • Real-time interval transit time extraction method based on particle swarm optimization
  • Real-time interval transit time extraction method based on particle swarm optimization

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Embodiment Construction

[0049] The technical solutions of the present invention will be described in further detail below with reference to the accompanying drawings and embodiments.

[0050] Refer to attached figure 1 , a method for real-time extraction of acoustic time difference based on particle swarm optimization, comprising the following steps:

[0051] The first step S101: specifying the arrival time of the first wave of a certain mode wave and the range of the time difference of the acoustic wave.

[0052] Given the arrival time of the first wave of a certain model wave and the range of acoustic time difference, the following steps are required to realize it: firstly, geological modeling needs to be carried out based on regional seismic data, adjacent well logging data, and mud logging data, and the stratum to be drilled is inverted information, and then estimate the propagation velocity of the acoustic wave in the formation according to the formation information, and finally estimate the arriv

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Abstract

The invention provides a real-time interval transit time extraction method based on particle swarm optimization, mainly to solve the problems of large amount of operation and low precision in the caseof interval transit time calculation by the traditional STC algorithm. The realization process comprises steps: (1) ranges of first wave arrival time and interval transit time of a certain mode waveare given; (2) a population is initialized; (3) the fitness value of a particle is calculated; (4) the historical highest fitness value of the particle and the global historical highest fitness valueof the population are updated; (5) the position of the particle is updated; and (6) whether the algorithm meets an end condition is judged, and if yes, iteration is stopped, or otherwise, the step (3)is carried out. The particle swarm optimization algorithm based on population random search is adopted for interval transit time extraction, traversal search of time and slowness is not needed, the algorithm is the global optimization method, the amount of operation of a program is greatly reduced, and the formation interval transit time can be quickly and accurately extracted.

Description

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Claims

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Application Information

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Owner 中石化石油工程技术服务有限公司
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