Well-Seismic Tie Stepwise Matching for Accurate Time Alignment
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Solution Overview
Problem
Current well-seismic tie methods in oil and gas exploration suffer from inaccuracies due to subjective manual calibration and errors in automatic calibration, lacking effective combinations of global and local adjustments, which affect efficiency and accuracy.
Innovation Solution
A method and system for well-seismic tie based on stepwise matching and optimization, involving first data processing of seismic data, determination of reflection coefficient sequences, convolution of seismic wavelets, and precise alignment through global and local time shifts to calibrate seismic records accurately.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual calibration is used for well-seismic tie, then flexibility and adaptability are improved, but efficiency deteriorates and subjective factors reduce accuracy
Solution Approach 1:
The patent segments the calibration process into multiple stages: coarse calibration using global time shifts, intermediate calibration using horizon-based adjustments, and fine calibration using local time shifts. This segmentation allows automated processing at each stage while maintaining the adaptability of manual calibration by allowing intervention at any stage.
Solution Approach 2:
The patent implements a dynamic calibration system that automatically transitions between different calibration modes (global → intermediate → local) based on data quality and matching results. The system can dynamically adjust the level of automation and switch between automated processing and manual intervention points.
2Productivity
If automatic calibration is used for well-seismic tie, then efficiency is improved, but accuracy deteriorates due to susceptibility to noisy data and large errors
Solution Approach 1:
The patent performs preliminary data processing and quality assessment before calibration to identify and handle noisy data segments. The system pre-processes seismic and logging data, applies initial filtering, and identifies reliable segments for calibration, thereby improving accuracy before the main calibration process begins.
Solution Approach 2:
The patent implements feedback mechanisms at each calibration stage where the system evaluates matching results, identifies outliers and errors, and automatically adjusts processing parameters. The feedback loop allows the system to learn from errors and improve accuracy through iterative refinement between automated stages.
3Device complexity
If global matching only is used for well-seismic tie, then processing simplicity is improved, but accuracy deteriorates due to lack of local fine adjustment
Solution Approach 1:
The patent divides the calibration process into distinct segments: global calibration for overall alignment, intermediate horizon-based calibration for structural features, and local fine calibration for detailed matching. Each segment addresses specific accuracy requirements while maintaining manageable complexity through modular processing.
Solution Approach 2:
The patent applies different calibration strategies to different parts of the data: global time shifts for overall timing, horizon-based adjustments for structural features, and local time shifts for detailed waveform matching. This local quality approach ensures high accuracy in critical regions while maintaining overall processing efficiency.
4Measurement precision
If multiple calibration stages are implemented, then calibration accuracy is improved, but processing time and complexity increase
Solution Approach 1:
The patent implements periodic calibration stages where the system alternates between automated global calibration, intermediate horizon-based calibration, and local fine calibration. Each stage processes data in periodic cycles with clear entry and exit criteria, allowing efficient resource allocation and preventing excessive processing time in any single stage.
Solution Approach 2:
The patent allows flexible execution of calibration stages where not all stages need to be performed on every dataset. The system can perform partial calibration using only the necessary stages based on data quality requirements, allowing users to balance accuracy needs against processing time constraints by selecting appropriate subsets of calibration stages.
Data Source
AI summary
The present disclosure provides a method for an accurate well-seismic tie based on stepwise matching and optimization, including: determining target seismic data as a seismic trace near well and performing first data processing on the target seismic data; performing second data processing on the logging information to determine a reflection coefficient sequence; extracting seismic wavelets, convoluting the seismic wavelets with the reflection coefficient sequence, determining a synthetic seismic record of the target calibration object in a time domain, performing third data processing on the synthetic seismic record; determining a correlation between the seismic trace near well and the synthetic seismic record, determining a global time shift between the synthetic seismic record and the seismic trace near well, performing a preliminary alignment on the synthetic seismic record; and calculating a local time shift between the seismic trace near well and the synthetic seismic record and accurately calibrating the synthetic seismic record.