Wellbore Cement Analysis Using 3D Particle Mapping
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Solution Overview
Problem
The evolution of cement material characteristics over time in wellbores is difficult to measure accurately, leading to uncertainties in cement setting and increased risks of wellbore failures, such as casing string failures and blowouts, due to the inability to determine time-dependent properties within the 4-hour to 7-day window.
Innovation Solution
A cement analysis system that uses multiple sensors to generate three-dimensional mappings of cement samples, allowing for the analysis of spatial, physicochemical, and mechanical properties without destructive testing, and compares these mappings to baseline data to ensure suitable cement compositions and reduce the risk of failure.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional measurement methods are used to determine cement material characteristics, then measurement can be performed, but the measurement is time-consuming and prone to errors
Solution Approach 1:
The system performs preliminary analysis by retrieving baseline 3D mappings and comparing them against current cement sample mappings before final determination. This preliminary comparison allows for early identification of deviations from expected curing patterns, enabling faster decision-making without sacrificing measurement accuracy.
Solution Approach 2:
The system creates three-dimensional digital mappings of cement samples that serve as accurate replicas of the physical sample's internal structure. These digital copies can be analyzed repeatedly without physical destruction or re-measurement, enabling precise measurement of material characteristics like porosity, density, and phase distribution without time-consuming physical testing.
2Strength
If cement composition is optimized for ideal performance, then cement strength is maximized, but the risk of setting failure increases due to unknown time-dependent properties
Solution Approach 1:
The system establishes a feedback loop by continuously monitoring cement curing progress through 3D mapping comparisons against baseline data. The system provides feedback on whether the cement is curing as expected, allowing operators to detect deviations from the intended curing trajectory and take corrective action before setting failure occurs, thereby maintaining both strength optimization and reliability.
Solution Approach 2:
The system prepares baseline 3D mappings of expected cement curing patterns before the actual cementing operation. These baselines serve as a cushion or safety reference that allows comparison against actual curing progress, enabling early detection of problematic curing behavior and preventing setting failures before they compromise cement strength.
3Reliability
If cement curing is monitored to verify integrity, then wellbore safety is improved, but measurement complexity and difficulty increase
Solution Approach 1:
The system replaces complex physical measurement and destructive testing methods with non-invasive 3D mapping techniques using X-ray computed tomography and other imaging modalities. This substitution allows for easy, repeated measurement of cement integrity parameters such as porosity distribution, phase composition, and structural homogeneity without the difficulty and destruction associated with traditional core sampling and laboratory analysis.
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 system enables accurate verification of cement integrity and appropriate setting, reducing the risk of wellbore failures by providing reliable stress state measurements and allowing for the design of cement slurries with enhanced load-bearing capacities, thereby minimizing remedial work and operational costs.
Implementation Method 1
a first sensor configured to perform X-Ray Computing Tomography on the cement sample
Implementation Method 2
a second sensor configured to perform Focused Ion-Beam Scanning Electron Macroscopy with X-Ray Diffraction on the cement sample
Implementation Method 3
a third sensor configured to perform X-Ray Fluorescence on the cement sample
Implementation Method 4
a fourth sensor configured to perform Energy Dispersive Spectroscopy on the cement sample
Implementation Method 5
a fifth sensor configured to perform Nuclear Magnetic Resonance on the cement sample
Data Source
AI summary
Wellbore cement compositions can be managed based on material characteristics determined from a cement sample. For example, a cement sample can be retrieved from a wellbore. The cement sample can be analyzed using a plurality of sensors to generate a three-dimensional mapping of particles in the cement sample. The three-dimensional mapping can represent three-dimensional spatial relationships between the particles in the cement sample. The three-dimensional mapping can be compared to baseline three-dimensional mappings in a database. The comparison of the three-dimensional mappings can be used to identify at least one material characteristic of the cement sample. Based on the at least one material characteristic of the cement sample, a cement mixture can be prepared or information related to the cement mixture can be output.