Determining reservoir fluid properties from downhole fluid analysis data using machine learning
AssigneeSchlumberger Technology Corporation
InventorsShahnawaz Molla, Farshid Mostowfi
Life of this patent
Estimating the term…
Abstract
Methods for determining in situ the value of a formation fluid parameter using a downhole fluid analysis (DFA) tool. The methods utilize advanced statistical learning tools to build a predictive model to estimate a fluid property given a set of input parameters. In one embodiment the fluid saturation pressure parameter is determined by using the DFA tool to obtain the fluid and to obtain weight fractions of at least C1, C6+, and CO2 of the fluid. The weight fractions and a reservoir temperature are input into a trained statistical learning machine to obtain a determination of the saturation pressure of the fluid.
Claims19
A method of determining in situ a value of a parameter of a reservoir fluid taken from a formation traversed by a borehole, comprising:
- drawing the fluid into a tool located in the borehole, said tool having an optical module including a spectrometer;
- shining light through the fluid and sensing with the spectrometer a plurality of resulting signals;
- applying indications of the resulting signals as inputs to a trained statistical learning machine;
- and
- taking the output of the trained statistical learning machine as a determination of the value of the parameter while the tool is in the borehole.
A method, comprising:
- obtaining samples of reservoir fluid from one or more formations at measured formation temperatures;
- analyzing the saturation pressures of the samples in a laboratory;
- analyzing the samples for optical density as a function of wave-length to obtain indicative information of the different makeups of the samples;
- using the measured formation temperatures, saturation pressures and indicative information as at least training data to train a statistical learning machine;
- drawing new fluid into a tool located in a borehole, said tool having an optical module including a spectrometer, and said new fluid taken from a downhole formation at a measured downhole formation temperature;
- shining light through the fluid and sensing with the spectrometer a plurality of resulting signals;
- applying indications of the resulting signals and said measured downhole formation temperature as inputs to the trained statistical learning machine;
- and
- taking the output of the trained statistical learning machine as a determination of a saturation pressure of the new fluid.
Dependencies are inferred from the claim text.