Optimizing Horizontal Well Placement via Thin Interface Analysis
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Solution Overview
Problem
Current methods for selecting landing locations for horizontal wellbores in hydraulic fracturing do not effectively account for the presence and distribution of thin rock layering and weak interfaces, which are difficult to detect with standard resolution open hole logs and can significantly impact fracture growth and connectivity in reservoirs with complex fabric.
Innovation Solution
A method involving geologic core studies, high-resolution core logging measurements, and integration with open hole logs to classify fracture barriers and thin rock layering, assigning confidence levels based on their impact on fracture growth, and using these classifications to generate landing recommendations and hydraulic fracturing models for optimal well placement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If standard resolution open hole logs are used to evaluate reservoir properties, then the evaluation process is simple and quick, but thin rock layering and weak interfaces cannot be detected
Solution Approach 1:
The evaluation method segments the reservoir rock into distinct geological interfaces and layers, systematically analyzing each interface's properties (strength, orientation, spacing) separately before integrating them into a comprehensive fracture growth prediction model. This segmentation allows detection of thin interfaces that would be invisible in bulk rock analysis.
Solution Approach 2:
The patent transitions from conventional bulk rock property evaluation to interface-scale analysis by introducing a new dimensional level of observation. By focusing on the two-dimensional interfaces and their three-dimensional distribution through the rock mass, the method reveals structural features at a scale below the resolution of standard open hole logs.
2Reliability
If geological core studies and high-resolution core logging are conducted to detect thin interfaces, then fracture growth prediction accuracy is improved, but the study time and cost increase
Solution Approach 1:
The method performs preliminary characterization of interface properties during the core study phase, creating a database of interface strength, orientation, and spacing before the wellbore is drilled. This preliminary action allows the information to be used during well planning and fracture stimulation design without requiring re-analysis of core materials.
Solution Approach 2:
The patent creates a digital model that copies and preserves the geometric and mechanical characteristics of geological interfaces identified in core studies. This digital copy can be repeatedly queried and integrated into fracture growth simulations without physically re-examining the core samples, enabling efficient reuse of the data.
3Adaptability or versatility
If complex trajectories are used to reach high-quality reservoir zones, then access to optimal reservoir is improved, but wellbore path complexity creates traps for liquid loading and reduces production
Solution Approach 1:
The patent applies local quality analysis by evaluating the specific properties of rock interfaces and their mechanical characteristics at the exact location where the wellbore will be landed. This localized evaluation identifies the optimal landing zone with the most favorable interface configuration for fracture growth, allowing the wellbore trajectory to be optimized for both access and production.
Data Source
AI summary
A method is performed for defining optimal landing location(s) of horizontal wells for hydraulic fracturing stimulation, for improved well performance of unconventional reservoirs. The method includes evaluating one or more planes of weakness, pinch-out points, or thin rock layering in the reservoir that may impede hydraulic fracture growth or may close fractured sections during production. The method can include conducting detailed analysis on core and open hole logs, and defining the presence, density, orientation, spacing, and mechanical properties of various thin interfaces and barriers in the rock mass. The method can include classifying the barriers or thin interfaces based on their effect on hydraulic fracture growth or fracture connectivity, and on uncertainty of their effect.