Seismic Event Prediction via Energy Structure Analysis

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Solution Overview

Problem

Current seismic forecasting methods are ineffective for short-term prediction of strong seismic events due to the stochastic nature of seismic processes, which makes it difficult to identify deterministic patterns, and existing technologies fail to analyze energy structures in focal point areas effectively.

Innovation Solution

The method involves constructing magnitude-time coordinates for information cells, identifying energy levels and elements within the seismic process structure, analyzing variability, and predicting seismic events by detecting energy centers and anomalies such as attenuation wedges and radon anomalies, using nonlinear thermodynamics principles.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If statistical approaches are used to identify patterns in seismic processes, then long-term forecasting may be achieved, but short-term event forecasting capability is lost

Engineering Contradiction:

Improvelong-term forecasting reliabilityVSAvoidshort-term forecasting capability

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The patent changes the fundamental parameter of analysis from statistical pattern recognition to energy structure analysis. By examining energy levels, attenuation wedges, and thermodynamic parameters in seismic catalogs, the method transforms the approach to detect deterministic energy accumulation patterns that predict short-term seismic events while maintaining long-term forecasting capability

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

The patent replaces the statistical/mechanical pattern recognition system with a thermodynamic energy analysis system. Instead of searching for statistical correlations in seismic data, the method applies nonlinear thermodynamics to analyze energy structures, obliquity angles, and attenuation characteristics, enabling deterministic short-term predictions

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Adaptability or versatility

If seismic processes are treated as stochastic by nature, then general seismic analysis can be performed, but deterministic elements and short-term prediction capability are missed

Engineering Contradiction:

Improveseismic process analysis flexibilityVSAvoiddeterministic pattern detection accuracy

Core Design Contradiction:

Adaptability or versatilityVSMeasurement precision

Solution Approach 1:

The patent changes the analytical parameter from stochastic probability distributions to deterministic energy thermodynamic parameters. By analyzing energy levels, attenuation wedges, obliquity angles, and heat anomalies, the method reveals deterministic patterns hidden within the stochastic seismic process, enabling precise short-term predictions while maintaining analytical versatility

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

The patent inverts the conventional approach by not accepting stochasticity as the final conclusion, but rather using it as a starting point to search for underlying deterministic energy structures. Instead of treating randomness as inherent, the method applies thermodynamic analysis to uncover deterministic energy accumulation and release patterns

Inventive Principle:

Principle #13The other way round (Inversion)

3Device complexity

If energy structure analysis is not performed in focal point areas, then analysis simplicity is maintained, but seismic event prediction accuracy is reduced

Engineering Contradiction:

Improveanalysis method simplicityVSAvoidseismic event prediction accuracy

Core Design Contradiction:

Device complexityVSMeasurement precision

Solution Approach 1:

The patent segments the seismic analysis into distinct energy structure components: energy levels, attenuation wedges, obliquity angles, and instant energy centers. This segmentation transforms the complex energy structure analysis into manageable analytical elements that can be systematically evaluated to improve prediction accuracy

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent adds a thermodynamic energy dimension to traditional seismic analysis. By incorporating energy levels, attenuation characteristics, and thermodynamic parameters into the analysis framework, the method creates a multi-dimensional approach that significantly improves prediction accuracy while maintaining systematic analytical procedures

Inventive Principle:

Principle #17Another dimension (Dimensionality change)

Data Source

PatentUS11487030B2Methods and systems for earthquake detection and prediction

Publication Date: 2022.11.01 KUKHAREV VADIM

AI summary

Disclosed are methods and systems for detecting and predicting events of increased seismic activity (i.e. earthquake activity). The methods include providing data catalogs, constructing magnitude versus time coordinate graphs, identifying energy levels of the graphs, and identifying further the obliquity angles of maximum and minimum energy levels and average increments between minimum and maximum energy levels. The methods also comprise constructing time arrows using the identified information, identifying energy centers via the time arrows, and analyzing variability throughout the seismic structure to predict a future event. Also disclosed are methods for predicting events based on attenuation wedge and energy parallelogram analysis.