[Interpretation Methods for NMR Diffusion-T2 maps]

A method for determining quantitative formation evaluation results from a multi-dimensional representation of nuclear magnetic resonance data, the method comprising the steps of:

• Obtaining a set of NMR data for a fluid sample;
• Computing from the set of NMR data a multi-dimensional distribution using a mathematical inversion independent of prior knowledge of fluid sample properties;
• Displaying the multi-dimensional distribution as an at least two-axis graph;
• Identifying at least one fluid instance on the graph representing a probable existence of a detected fluid;
• and
• Applying a fluid response model to calculate quantitative formation evaluation values of the fluid sample, the fluid response model being based on the at least one fluid instance.

A method for determining quantitative formation evaluation results from a multi-dimensional representation of nuclear magnetic resonance data, the method comprising the steps of:

• Obtaining a set of NMR data for a fluid sample;
• Computing from the set of NMR data a multi-dimensional distribution using a mathematical inversion independent of prior knowledge of fluid sample properties;
• Displaying the multi-dimensional distribution as an at least two-axis graph;
• Identifying at least one fluid instance on the graph representing a probable existence of a detected fluid;
• Integrating over a region of the graph associated with the at least one fluid instance to obtain a total amplitude;
• and
• Computing quantitative formation evaluation values associated with the at least one fluid instance using the total amplitude.

A method for determining quantitative formation evaluation results from a multi-dimensional representation of nuclear magnetic resonance data, the method comprising the steps of:

• Obtaining a set of NMR data for a fluid sample;
• Computing from the set of NMR data a multi-dimensional distribution using a mathematical inversion independent of prior knowledge of fluid sample properties;
• Displaying the multi-dimensional distribution as an at least two-axis graph;
• Identifying at least one fluid instance on the graph representing a probable existence of a detected fluid;
• Computing a mean value across a region of the distribution associated with the at least one fluid instance;
• and
• Computing a quantitative formation evaluation value based on the computed mean value.