Real-Time Seismic Survey Adaptation via Dynamic Acquisition Planning
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional seismic surveys are limited by the need for pre-planned acquisition parameters, which may not account for evolving subsurface conditions, leading to inefficient data collection and processing, especially in large or hard-to-reach areas, resulting in significant time and cost expenditures.
Innovation Solution
The method involves determining an initial plan for a seismic survey with adjustable acquisition parameters, using distributed source arrays (DSAs) to generate seismic waves and employing fast beam migration techniques for expedited processing of blended seismic data, allowing for real-time updates and improved image resolution without the need for deblending.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional pre-planned seismic survey acquisition is used, then the survey follows a predetermined plan, but it cannot adapt to evolving subsurface conditions leading to inefficient data collection
Solution Approach 1:
The patent implements dynamic acquisition planning where the survey plan is updated in real-time based on subsurface conditions revealed during processing. The system transitions from a static predetermined plan to a dynamic adaptive plan that modifies acquisition parameters (source locations, receiver configurations, processing priorities) as new seismic images become available, thereby improving adaptability without sacrificing productivity
Solution Approach 2:
The patent establishes a feedback loop where seismic data is acquired, processed to generate seismic images, and the resulting images inform subsequent acquisition planning. This closed-loop system uses the seismic images as feedback to adjust the acquisition plan, enabling the survey to adapt to actual subsurface conditions while maintaining efficient data collection through automated plan updates
2Reliability
If complete seismic survey data is acquired before processing, then comprehensive data is available, but it requires significant time and computational resources
Solution Approach 1:
The patent performs preliminary processing of seismic data as it becomes available during the acquisition process, rather than waiting for complete data collection. By generating preliminary seismic images from partial datasets and using these to guide subsequent acquisition and processing decisions, the system reduces overall processing time while maintaining the reliability of the final comprehensive seismic model
Solution Approach 2:
The patent divides the seismic survey into manageable segments that can be processed independently and in parallel. By segmenting the large-scale survey into smaller processing units that can be handled concurrently, the system reduces the time required to process complete datasets while maintaining the comprehensive coverage and reliability of the final seismic image through integration of all segments
3Measurement precision
If traditional seismic processing methods are used, then detailed processing is performed, but it is too slow for real-time adjustments during survey
Solution Approach 1:
The patent applies partial processing to subsets of seismic data that are most critical for real-time decision-making, rather than performing complete detailed processing on all data. By selectively processing only the portions of data that provide the most value for immediate acquisition adjustments, the system achieves sufficient measurement precision for real-time guidance while maintaining high processing speed
Solution Approach 2:
The patent implements dynamic processing where the level and type of processing applied to seismic data varies based on the specific survey conditions, data quality, and timing requirements. The processing pipeline adapts its complexity and detail level in real-time, applying more detailed processing where needed and streamlined processing where speed is critical, thereby balancing measurement precision with processing speed throughout the survey
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 approach reduces data acquisition time and volume while enhancing image quality, enabling more accurate and efficient seismic imaging by processing blended data directly and allowing for real-time adjustments during the survey, thus overcoming logistical and environmental challenges.
Implementation Method 1
a seismic source generates seismic waves which propagate through the subterranean region of interest and are detected by seismic sensors or receivers
Data Source
AI summary
A method and system for forming a seismic image of a subterranean region are disclosed. The method includes determining an initial plan for a seismic survey with a value for each member of a set of acquisition parameters and acquiring a first seismic dataset from a first portion of the seismic survey based on the initial plan. The method further includes transmitting the first seismic dataset to a seismic processor, determining a first seismic image from the first seismic dataset by performing expedited seismic processing and determining a first updated plan for the seismic survey based on the first seismic image and acquiring a second seismic dataset from a second portion of the seismic survey based on the first updated plan. The method still further includes transmitting the second seismic dataset to the seismic processor and determining the seismic based on the first seismic dataset and the second seismic dataset.