Cross-Wellbore Seismic Profiling for Well Location Accuracy
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Solution Overview
Problem
Current seismic imaging techniques for subterranean formations face challenges in accurately locating wellbores and characterizing subsurface structures due to limitations in spatial and temporal resolution, signal-to-noise ratio, and uncertainty in data interpretation.
Innovation Solution
A seismic profiling system that utilizes an array of seismic sources and sensors deployed within wellbores to generate and detect seismic waves, providing high-resolution, time-lapse imaging and velocity modeling of subsurface structures, enabling precise well placement, fracture treatment optimization, and reservoir characterization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional seismic imaging techniques are used, then the basic geological information can be obtained, but the spatial and temporal resolution is insufficient and the wellbore location accuracy is poor
Solution Approach 1:
The system segments the seismic profiling function by deploying separate seismic sources and sensor arrays in different wellbores. The source wellbore contains seismic sources while the receiver wellbore contains sensor arrays, allowing independent optimization of each component and enabling precise location determination through cross-wellbore seismic wave propagation analysis.
Solution Approach 2:
Seismic waves serve as the intermediary carrier that transmits geological information between the source and receiver wellbores. By analyzing the seismic wave propagation characteristics (travel time, amplitude, frequency), the system mediates the determination of wellbore locations and subsurface structure properties without direct physical contact.
2Reliability
If conventional seismic imaging is used, then geological information can be derived, but the signal-to-noise ratio is insufficient for high-precision characterization
Solution Approach 1:
The system performs preliminary actions by pre-positioning seismic sources and sensor arrays in specific wellbore locations before seismic data acquisition. This preliminary arrangement optimizes the geometric configuration for maximum signal reception and enables targeted seismic wave propagation paths that enhance signal-to-noise ratio while reducing unnecessary data collection.
Solution Approach 2:
The system employs feedback mechanisms by continuously monitoring seismic wave responses and using this information to adjust subsequent measurements. The analyzed seismic data feeds back into the velocity model construction and wellbore location determination, allowing iterative refinement that improves signal-to-noise ratio and characterization accuracy.
3Measurement precision
If conventional seismic imaging techniques are used, then basic subsurface information can be obtained, but the temporal resolution is insufficient for real-time monitoring
Solution Approach 1:
The system transitions from static seismic imaging to dynamic monitoring by enabling real-time or near-real-time seismic data acquisition and processing. The flexible wellbore deployment allows dynamic adjustment of measurement parameters and enables time-lapse seismic imaging that captures temporal changes in subsurface conditions, such as fracture propagation or fluid injection effects.
Solution Approach 2:
By pre-establishing the seismic profiling system in wellbores before the monitoring period begins, the system performs preliminary setup that enables rapid, real-time data collection during actual monitoring operations. This preliminary positioning eliminates the need for complex real-time system assembly and reduces data processing time.
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
The system enhances the accuracy of wellbore location, improves fracture treatment efficiency, and provides detailed reservoir characterization, leading to increased hydrocarbon recovery and reduced operational costs by leveraging high-resolution seismic data and real-time monitoring.
Implementation Method 1
seismic waves are generated by an artificial seismic source at the ground surface, and reflected seismic waves are recorded by geophones
Implementation Method 2
reflected seismic waves are recorded by geophones
Data Source
AI summary
Some aspects of what is described here relate to seismic data analysis techniques. A seismic excitation is generated in a first directional wellbore section in a subterranean region. A seismic response associated with the seismic excitation is detected in a second directional wellbore section in the subterranean region. Seismic response data based on the seismic response are analyzed to identify a location of a fracture treatment injection wellbore in the subterranean region.