Receiver Point Positioning Accuracy Evaluation Using Residual Vectors
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for positioning receiver points in offshore oil and gas exploration, such as OBN and OBC seismic exploration, face challenges in accurately determining the position due to drifting issues, especially with poor-quality seismic data, leading to inaccuracies in receiver point positioning.
Innovation Solution
A method and apparatus that construct a residual vector based on characteristic parameters like offset, velocity of the first arrival wave, and first arrival time to evaluate the accuracy of derived position data, using a construction unit, determination unit, and evaluation unit to assess the accuracy of receiver point positioning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If first break positioning is used to position receiver points, then positioning cost is reduced, but positioning accuracy deteriorates due to difficulties in picking first arrival time from poor quality seismic data
Solution Approach 1:
The patent introduces a quality evaluation mechanism that uses residual vectors as feedback to assess positioning accuracy. By calculating residual vectors from positioning results and comparing them against threshold values, the system provides feedback on positioning quality, enabling identification of low-quality positioned points that require repositioning or manual correction.
Solution Approach 2:
The patent replaces manual first arrival picking (mechanical/interactive process) with an automated quality evaluation system based on residual vector analysis. This substitution allows objective assessment of positioning quality without requiring manual intervention for every data point, while still identifying cases where manual correction is needed.
2Measurement precision
If manual interaction is introduced to pick first arrival from poor quality seismic data, then positioning accuracy is improved, but operation complexity and time consumption increase
Solution Approach 1:
The patent enables the positioning system to self-evaluate its own quality through residual vector analysis. The system automatically identifies which positioned points have low quality without requiring manual inspection of each data point, allowing it to serve itself in quality assessment and selectively request manual intervention only when necessary.
Solution Approach 2:
Instead of requiring manual review of all positioned points, the patent applies partial action by using automated residual vector evaluation to identify only those specific points that require manual correction. This selective approach reduces operational complexity while maintaining accuracy where needed.
3Productivity
If automated first arrival picking is used, then operation efficiency is improved, but positioning accuracy deteriorates when seismic data quality is poor
Solution Approach 1:
The patent introduces a quality control feedback loop where residual vectors provide information about automated picking quality. This feedback mechanism allows the system to identify failed automated picks and trigger manual correction, thereby maintaining high efficiency for good data while ensuring accuracy for poor quality data.
Solution Approach 2:
The residual vector quality evaluation acts as an intermediary between automated picking and final positioning results. It mediates by filtering and identifying problematic cases, allowing automated picking to operate efficiently on most data while enabling targeted manual intervention only where the intermediary identifies quality issues.
Data Source
AI summary
A method for evaluating accuracy in positioning a receiver point, which is associated with at least one shot point, and for which a derived position data is obtained, wherein a pair of the receiver point and a respective shot point is associated with a characteristic parameter which includes an offset, a velocity of first arrival wave and a first arrival time, the method comprising: step S10, constructing a residual vector associated with the receiver point and the respective shot point based on the characteristic parameter; step S12, determining a characterization parameter of the derived position data based on the residual vector; and step S14, evaluating accuracy of the derived position data based on the characterization parameter. An apparatus for evaluating accuracy in positioning a receiver point is also provided.