Abstract:
An apparatus for determining the density of a fluid in a flowstream is disclosed. The apparatus comprises a vibrating tube (12) having a bore and a vibrating region. The apparatus also comprises a housing (16) to support the vibrating region. The apparatus further comprises a vibration source (22) and a vibration detector (24) coupled to the vibrating tube (12), and one or more sensors (26) coupled to the housing (16), said one or more sensors substantially oriented toward the vibrating region of the vibrating tube.
Abstract:
Optical computing devices are disclosed. One exemplary optical computing device (300) includes an electromagnetic radiation source (308) configured to optically interact with a sample (306) and at least two integrated computational elements (302, 304). The at least two integrated computational elements are configured to produce optically interacted light (314) and further configured to be associated with a characteristic of the sample. The optical computing device further includes a first detector (316) arranged to receive the optically interacted light from the at least two integrated computational elements and thereby generate a first signal corresponding to the characteristic of the sample.
Abstract:
One disclosed optical computing device includes a sampling window arranged on a housing, an electromagnetic radiation source configured to emit electromagnetic radiation, the electromagnetic radiation being configured to optically interact with a substance outside of the sampling window, at least one integrated computational element (ICE) core arranged to optically interact with the electromagnetic radiation, and a detector arranged to receive the electromagnetic radiation following its optical interaction with the substance and the at least one ICE core and generate an output signal corresponding to a characteristic of the substance, wherein the electromagnetic radiation impinges upon the surfaces of the sampling window at an angle of incidence from normal to the sampling window, and wherein specular reflected light reflects off the sampling window at an opposing angle of incidence, the specular reflected light emanating away from the sampling window such that it is not detected by the detector.
Abstract:
Optical computing devices are disclosed. One optical computing device includes an electromagnetic radiation source that emits electromagnetic radiation into an optical train to optically interact with a sample and at least one integrated computational element, the sample being configured to generate optically interacted radiation. A sampling window is arranged adjacent the sample and configured to allow transmission of the electromagnetic radiation therethrough and has one or more surfaces that generate one or more stray signals. A first focal lens is arranged to receive the optically interacted radiation and the one or more stray signals and generate a primary focal point from the optically interacted radiation. A structural element defines a spatial aperture aligned with the primary focal point such that the optically interacted radiation is able to pass therethrough while transmission of the one or more stray signals is substantially blocked by the structural element.
Abstract:
Optica l computing devices are d isclosed. One exemplary optica l computing device (300) includes an electromagnetic radiation source (201) configured to optica lly interact with a sample (202) and first and second integrated computational elements (302, 304) arranged in primary (Al) and reference channels (A2), respectively, the first and second computationa l elements (302, 304) are configured to be either positively or negatively correlated to the characteristic of the sample (202). The first and second integrated computational elements (302, 304) produce first and second modified electromagnetic radiations (306, 308), and a detector (212, 216, 220) is arranged to receive the first and second modified electromagnetic radiations (306, 308) and generate an output signa l correspond ing to the characteristic of the sample (202).
Abstract:
Systems and methods for optical fluid identification approximation and calibration are described herein. One example method includes populating a database with a calculated pseudo optical sensor (CPOS) response of a first optical tool to a first sample fluid. The CPOS response of the first optical tool may be based on a transmittance spectrum of a sample fluid and may comprise a complex calculation using selected components of the first optical tool. A first model may be generated based, at least in part, on the database. The first model may receive as an input an optical sensor response and output a predicted fluid property. A second model may also be generated based, at least in part, on the database. The second model may receive as an input at least one known/measured fluid/environmental property value and may output a predicted pseudo optical sensor response of the first optical tool.
Abstract:
The output of optical computing devices containing an integrated computational element (212) can be corrected when an interferent substance or condition is present. The devices may comprise an optional electromagnetic radiation source (200); a sample detection unit comprising an integrated computational element (212) and a detector (216) configured to receive electromagnetic radiation that has optically interacted with the integrated computational element and produce a sample signal associated therewith; an interferent monitor (222) located proximal to the sample detection unit, the interferent monitor being configured to produce an interferent signal associated with an interferent substance; and a signal processing unit (220) operable to convert the interferent signal into an interferent input form suitable for being computationally combined with the sample signal, the signal processing unit being further operable to computationally combine the sample signal and the interferent input form to determine a characteristic of a sample in real-time or near real-time.
Abstract:
Optical computing devices are disclosed. One optical computing device includes an electromagnetic radiation source that emits electromagnetic radiation into an optical train to optically interact with a sample and at least one integrated computational element, the sample being configured to generate optically interacted radiation. A sampling window is arranged adjacent the sample and configured to allow transmission of the electromagnetic radiation therethrough and has one or more surfaces that generate one or more stray signals. A first focal lens is arranged to receive the optically interacted radiation and the one or more stray signals and generate a primary focal point from the optically interacted radiation. A structural element defines a spatial aperture aligned with the primary focal point such that the optically interacted radiation is able to pass therethrough while transmission of the one or more stray signals is substantially blocked by the structural element.
Abstract:
Optical computing devices are disclosed. One exemplary optical computing device (300) includes an electromagnetic radiation source (308) configured to optically interact with a sample (306) and at least two integrated computational elements (302, 304). The at least two integrated computational elements are configured to produce optically interacted light (314) and further configured to be associated with a characteristic of the sample. The optical computing device further includes a first detector (316) arranged to receive the optically interacted light from the at least two integrated computational elements and thereby generate a first signal corresponding to the characteristic of the sample.
Abstract:
Methods involving optical computing devices are disclosed. One exemplary optical computing device (300) includes an electromagnetic radiation source (201) configured to optically interact with a sample (202) and first and second integrated computational elements (302, 304) arranged in primary and reference channels (Al, A2), respectively, the first and second computational elements (302, 304) are configured to be either positively or negatively correlated to the characteristic of the sample (202). The first and second integrated computational elements (302, 304) produce first and second modified electromagnetic radiations (306, 308), and a detector (212, 216, 220) is arranged to receive the first and second modified electromagnetic radiations (306, 308) and generate an output signal corresponding to the characteristic of the sample (202).