Downhole Fluid Composition Analysis Using NMR and Chromatography

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Current methods for compositional analysis of hydrocarbon-containing fluids downhole, particularly those involving NMR and optical data, face limitations in accurately determining chain length distributions and fluid composition due to uncertainties in harsh subterranean environments and the presence of asphaltenes and dissolved gases, leading to overestimation of relaxation times and insufficient resolution for small chain lengths.

Innovation Solution

Combining NMR data with additional measurements from tools like gas chromatography and optical observation to enhance the resolution and accuracy of chain length distributions, using a piecewise log-linear scaling law with nodes at specific carbon chain lengths to model T2 relaxation times, and constraining inversion processes with data from multiple tools to improve the accuracy of fluid composition analysis.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of information

If NMR relaxation measurements are used to determine oil composition, then information about chain length distributions and viscosity can be obtained, but uncertainties are introduced due to the harsh subterranean environment and presence of asphaltenes

Engineering Contradiction:
Improveaccuracy of chain length distribution determinationVSAvoidreliability of NMR measurements in harsh environment
Core Design Contradiction:
Loss of informationVSReliability

Solution Approach 1:

The patent combines NMR relaxation measurements with diffusion measurements and optical measurements to create a multi-parameter analysis system. This merging of different measurement techniques compensates for the limitations of individual methods, particularly the uncertainties introduced by asphaltenes and harsh downhole conditions, thereby improving the accuracy of chain length distribution determination

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The patent introduces an intermediary computational model that uses measured NMR relaxation times and diffusion coefficients to calculate chain length distributions. This model acts as a mediator between the raw measurements and the final composition analysis, allowing the system to account for environmental factors and asphaltene effects through mathematical correction rather than direct measurement

Inventive Principle:
Principle #24Intermediary (Mediator)

2Productivity

If scaling laws are used to estimate chain length from T2 relaxation times, then composition analysis can be performed, but overestimation of relaxation times occurs leading to insufficient resolution for small chain lengths

Engineering Contradiction:
Improvespeed of composition analysisVSAvoidprecision of small chain length measurement
Core Design Contradiction:
ProductivityVSMeasurement precision

Solution Approach 1:

The patent segments the chain length analysis into multiple ranges, applying different analytical approaches for different carbon number ranges. For small chain lengths (C1-C5), diffusion measurements and optical measurements are emphasized, while for larger chains, NMR relaxation measurements are more effective. This segmentation allows each measurement type to operate in its optimal range, improving overall precision

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent adds the diffusion coefficient measurement dimension to complement the T2 relaxation time measurement. By measuring both relaxation and diffusion, the system obtains two independent parameters for each component, enabling more accurate chain length determination through joint inversion, particularly for small chain lengths where relaxation times alone are insufficient

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

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 provides a more robust and accurate determination of fluid composition, including chain length distributions and viscosity, by integrating data from multiple sources, effectively addressing the limitations of existing methods and improving the resolution and range of carbon chain length analysis.

Implementation Method 1

by using a nuclear magnetic resonance (NMR) tool to conduct a NMR relaxation measurement, a diffusion measurement, or both on the hydrocarbon-containing fluid

Methodology Applied
Scientific EffectNMR relaxation measurement: Magnetic Field

Implementation Method 2

using a non-NMR tool to conduct an additional measurement of a reference fluid to obtain non-NMR data wherein the additional measurement comprises gas chromatography

Methodology Applied
Scientific EffectGas chromatography: Chromatography

Implementation Method 3

wherein the additional measurement comprises gas chromatography, optical observation, or both

Methodology Applied
Scientific EffectOptical observation: Absorption Spectroscopy

Data Source

PatentUS9703003B2Methods for compositional analysis of downhole fluids using data from NMR and other tools
Publication Date: 2017.07.11 SCHLUMBERGER TECH CORP
  • US9703003B2 patent drawing
  • US9703003B2 patent drawing
  • US9703003B2 patent drawing

AI summary

Apparatus and methods of analyzing a composition of a hydrocarbon-containing fluid including using a nuclear magnetic resonance (NMR) tool to conduct a NMR relaxation measurement, a diffusion measurement, or both on the hydrocarbon-containing fluid to obtain NMR data, using a non-NMR tool to conduct an additional measurement of a reference fluid to obtain non-NMR data wherein the additional measurement comprises gas chromatography, optical observation, or both, and using the NMR data and the non-NMR data in an inversion process to determine an indication of the composition of the hydrocarbon-containing fluid. In some embodiments, the indication is determined over 4 chain length nodes.