Abstract:
Fabry-Perot based optical computing devices and temperature sensors are disclosed for a number of applications including, for example, in-situ downhole fluid analysis and temperature detection.
Abstract:
An optical computing device comprising a plurality of electromagnetic radiation sources, each at a unique angular displacement about an optical train and each at at least one unique electromagnetic radiation wavelength; an integrated computational element (ICE) located in the optical train before or after a sample located in the optical train to generate modified electromagnetic radiation in the optical train; a broadband angle-selective filter (BASF) located in the optical train that is rotatable about an axis to a plurality of unique orientations to transmit the electromagnetic radiation and/or the modified electromagnetic radiation in the optical train at a target incident angle corresponding to one of the plurality of electromagnetic radiation sources to generate angle selected-modified electromagnetic radiation (ASMR); and a detector to receive the ASMR and to generate an output signal corresponding to a characteristic of the sample.
Abstract:
Systems and methods are disclosed for reducing delamination or cracking in a multilayer film stack fabricated on a substrate. The multilayer film stack is designed to optically process a sample fluid interacted electromagnetic radiation to measure various chemical or physical characteristics of a production fluid from a wellbore. Systems and methods measure in situ a characteristic of the multilayer film stack during fabrication and compare the measured characteristic against a reference criterion. The reference criterion has been predetermined to represent an onset of delamination or cracking. If the reference criterion is met, fabrication of the multilayer film stack is modified to reduce the possibility of delamination or cracking. Other systems and methods are presented.
Abstract:
Multivariate optical computing using polarizers to modulate the intensity of sample-interacted light. The polarizer(s), along with other device components, produce a spectroscopic intensity profile that mimics the regression vector that corresponds to the sample characteristic(s) of interest.
Abstract:
Embodiments of a device, system and method are disclosed herein. In one embodiment, a device comprises a sample cell configured to interact a fluid sample with an ion selective substrate to modify an optical characteristic of the ion selective substrate according to an ion concentration of the fluid sample, wherein the sample cell is also configured to optically interact an illumination light with the ion selective substrate to generate a sample light; an optical element configured to interact with the sample light to provide a modified light that has a property of the fluid sample; and a detector that receives the modified light and provides an electrical signal proportional to the property of the fluid sample indicated by the modified light; and wherein the ion selective substrate comprises a membrane, the membrane configured to change an optical property in a selected wavelength range, according to the property of the fluid sample.
Abstract:
A method comprises determining an adaptive fluid predictive model calibrated with a plurality of types of sensor data, wherein the plurality of types of sensor responses comprise a first type of sensor response associated with a synthetic parameter space and a second type of sensor response associated with a tool parameter space. The method comprises applying the adaptive fluid predictive model to one or more fluid samples from field measurements obtained from a tool deployed in a wellbore formed in a subterranean formation and determining a value of a fluid answer product prediction with the applied adaptive fluid predictive model. The method comprises facilitating a wellbore operation with the tool based on the value of the fluid answer product prediction.
Abstract:
A method may comprise sampling a wellbore fluid; analyzing the wellbore fluid and determining a presence of a graphene-like substrate, a concentration of the graphene-like substrate, or both, in the wellbore fluid; and correlating the presence and the concentration of the graphene-like substrate to at least one subterranean formation characteristic.
Abstract:
Downhole tools for isolating and analyzing one or more gases include a gas separation assembly in fluid communication with a gas specific analyzer. The gas separation assembly includes a piston disposed within a housing and a separation volume defined between the piston and the housing. The piston is movable to separate a gas component and a liquid component from a downhole formation fluid within the separation volume. The gas specific analyzer is operable to measure one or more properties of the gas component. In some configurations, the gas specific analyzer is an optical assembly containing a light source, an optical detector, and a gas cell that contains an observation volume. The optical assembly is operable to measure one or more properties of the gas component within the observation volume via the light source and the optical detector.
Abstract:
Downhole tools for isolating and analyzing one or more gases include a gas separation assembly in fluid communication with a gas specific analyzer. The gas separation assembly includes a piston disposed within a housing and a separation volume defined between the piston and the housing. The piston is movable to separate a gas component and a liquid component from a downhole formation fluid within the separation volume. The gas specific analyzer is operable to measure one or more properties of the gas component. In some configurations, the gas specific analyzer is an optical assembly containing a light source, an optical detector, and a gas cell that contains an observation volume. The optical assembly is operable to measure one or more properties of the gas component within the observation volume via the light source and the optical detector.
Abstract:
A method for ruggedizing an ICE design, fabrication and application with neural networks as disclosed herein includes selecting a database for integrated computational element (ICE) optimization is provided. The method includes adjusting a plurality of ICE operational parameters according to an environmental factor recorded in the database and simulating environmentally compensated calibration inputs. The method includes modifying a plurality of ICE structure parameters to obtain an ICE candidate structure having improved performance according to a first algorithm applied to the database and validating the ICE candidate structure with an alternative algorithm applied to the database. Further, the method includes determining a plurality of manufacturing ICEs based on the validation with the first algorithm and the alternative algorithm, and fabricating one of the plurality of manufacturing ICEs. A method for determining a fluid characteristic using a calibrated ICE fabricated as above and supplemental elements is also provided.