Acoustic Logging Calibration for Deep Drilling Navigation
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Solution Overview
Problem
Deep precise navigation technology in oil and gas exploration faces challenges in real-time drilling due to interference from non-stratum factors like instrument errors and mud drilling fluid, which affect the accuracy and interpretation of logging curves and depth measurements, making it difficult to predict stratum lithology and optimize well trajectories.
Innovation Solution
A real-time calibration method for acoustic logging data that processes outliers using the isolation forest method, performs stretching and translation transformations, and conducts well-to-seismic calibration to standardize and correct time-depth relationships, enhancing the accuracy and reliability of acoustic curve data for precise navigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If real-time drilling logging is performed, then drilling efficiency and real-time decision-making are improved, but measurement accuracy deteriorates due to interference from non-stratum factors such as instrument errors and mud drilling fluid
Solution Approach 1:
The patent extracts and removes harmful non-stratum factors from the logging data through outlier detection and removal algorithms. The system identifies and eliminates data points affected by instrument errors, mud drilling fluid interference, and other noise sources, retaining only the纯净 stratigraphic information for accurate analysis.
Solution Approach 2:
The patent transforms logging data from different wells by standardizing parameters such as acoustic time difference, density, and porosity. This involves adjusting measurement scales, correcting depth variations, and normalizing data distributions to enable accurate comparison and integration of multi-well logging curves while maintaining real-time processing capability.
2Reliability
If logging data from multiple wells is integrated for reservoir prediction, then prediction comprehensiveness is improved, but data consistency deteriorates due to dimensional differences in logging curves
Solution Approach 1:
The patent applies comprehensive parameter transformation to standardize logging curves across multiple wells. This includes correcting depth measurements to a common reference, normalizing acoustic time difference scales, and adjusting density and porosity parameters to account for variations in measurement conditions, thereby achieving consistent data integration.
Solution Approach 2:
The patent implements iterative optimization where the system continuously compares integrated logging data with known stratigraphic boundaries and reservoir characteristics. Based on this feedback, the system automatically adjusts calibration parameters and correction factors to improve data consistency and prediction accuracy over time.
Data Source
AI summary
The present invention belongs to the field of geologic survey, and particularly relates to a real-time calibration method and system of acoustic logging data while drilling for precise navigation of deep oil and gas, aiming to solve a problem of inability to automatically identify stratum boundaries to adapt to geology at various different depths in an existing drilling process. The method of the present invention includes: acquiring standardized acoustic parameter data while drilling; acquiring time-depth relationship of historical acoustic curve data of drilled wells, and current actual drilling time-depth relationship; performing interpolation based on the current actual drilling time-depth relationship, to acquire interpolated current actual drilling time-depth relationship; correcting the interpolated current actual drilling time-depth relationship; and completing current precise depth correction based on the current actual drilling acoustic curve.