Gamma Imaging While Drilling Data Correction for Dip Angle Accuracy
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Solution Overview
Problem
Existing gamma imaging technologies for geosteering suffer from low accuracy in calculating formation dip angles, leading to ineffective geosteering drilling due to rotational measurement distortions.
Innovation Solution
A multi-sector data correction method involving the division of gamma imaging sectors into counting zones, construction of measurement vectors, establishment of a correction matrix with a conditional number less than a set value, and calculation of gamma intensity using these vectors and matrices to correct measurement data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If gamma imaging technology is used for formation evaluation, then formation dip angle can be calculated, but measurement accuracy is low and large errors occur due to rotational measurement distortions
Solution Approach 1:
The patent divides each gamma imaging sector into multiple counting zones (e.g., 8 sectors × 2 counting zones = 16 counting zones). This segmentation allows independent measurement and correction of gamma intensity in each zone, reducing the impact of rotational distortions on overall measurement accuracy.
Solution Approach 2:
The patent introduces correction coefficients and optimization parameters to transform the measurement model. By adjusting these parameters through optimization algorithms, the system compensates for rotational measurement distortions and improves the reliability of formation dip angle calculations.
2Measurement precision
If correction matrix optimization is performed to reduce conditional number, then measurement data correction accuracy improves, but computational complexity increases
Solution Approach 1:
The patent pre-divides sectors into counting zones and establishes the correction matrix structure before actual measurement. This preliminary setup reduces the computational burden during real-time operations by pre-calculating optimization parameters and reducing the conditional number of the correction matrix.
Solution Approach 2:
The patent employs optimization algorithms that use feedback from the correction process to iteratively improve the correction matrix. The system continuously adjusts correction coefficients based on measurement data quality, achieving high correction accuracy while managing computational complexity through adaptive optimization.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This method enhances the accuracy of gamma intensity measurements, reducing rotational distortion and improving the precision of formation dip angle calculations, enabling high-precision geosteering drilling.
Implementation Method 1
measuring the gamma intensity of the wellbore
Data Source
AI summary
A multi-sector data correction method for gamma imaging while drilling includes the steps of: (a) dividing each gamma imaging sector into a plurality of counting zones; (b) counting a number of valid counting pulses for each counting zone at a predetermined time interval during MWD; (c) constructing a plurality of measurement vectors based on a value of recording times of each counting zone; (d) establishing a correction matrix with a conditional number less than a set value through an optimization algorithm; and (e) calculating a gamma intensity of each measured sector with the plurality of measurement vectors and the correction matrix as constructed, so as to complete the correction on the measurement data of each measured sector for each predetermined time interval. This method eliminate problems such as rotational measurement distortion of the gamma imaging while drilling tool and improve the accuracy of calculating the formation dip angle.