PORTABLE ANALYSIS SYSTEM

Abstract

The present invention refers to a portable analysis system that, from analytical methodologies set based on digital images acquired by portable devices and accessories developed in an expedited way, allows the performance of the analytical test without technical deepening by the executor of the analysis. Such methodologies allow the evaluation of chemical species relevant to the O&G sector, for following up compositional parameters in aqueous samples and analytical monitoring of production and effluent treatment. Thus, a quick implementation is possible considering eventual diagnoses associated with the parameters of interest and following up of different processes. The application can be in any laboratory present in an operational unit, whether offshore or onshore, as well as it can be used for direct measurement in the field, depending on the necessary environmental and operating conditions.

Claims

1- PORTABLE ANALYSIS SYSTEM, characterized by comprising two items of software (IS1, IS2), an item of hardware (IH) and a reaction item (IR).

2- SYSTEM, according to claim 1, characterized by the item of software (IS1) consist of a set of regression algorithms developed with computer vision and machine learning techniques for quantification/prediction of concentration of various analytes.

3- SYSTEM, according to claim 1, characterized by the item of software (IS2) be an application for mobile devices to instruct the user/analyst and assist him in capturing the digital images used in the adjustment of predictive models and in the application of adjusted models in the quantification of analytes.

4- SYSTEM, according to claim 1, characterized by the item of hardware (IH) consisting of a three-dimensional geometric model set, called capture chambers, physically created by an additive manufacturing process (3D printing).

5- SYSTEM, according to claim 1, characterized by the reaction item (IR) to develop chemical reactions with specially formulated reagents.

6- SYSTEM, according to claim 2, characterized by the quantification is carried out based on the analysis with the IR and the image processing of the reactions captured by digital cameras.

7- SYSTEM, according to claim 2, characterized by the regression algorithms are based on deep artificial neural networks, which predictive models are adjusted by means of supervised reverse propagation.

8- SYSTEM, according to claim 3, characterized in that mobile devices have capture cameras coupled to capture digital images submitted to predictive models.

Description

BRIEF DESCRIPTION OF DRAWINGS

[0013] The present invention will be described in more detail below, with reference to the attached figures which, in a schematic and not limiting of the inventive scope, represent examples of its realization. In the drawings, there are:

[0014] FIG. 1 illustrating the portable analysis system of the present invention, being (1) relative to the reading chamber and (2) the cell phone support;

[0015] FIG. 2 illustrating the portable analysis system of the present invention, being (1) a cell phone used and (2) the support together with the reading camera;

[0016] FIG. 3 illustrating a plot of measured alkalinity and estimated alkalinity for various reference samples.

DETAILED DESCRIPTION OF THE INVENTION

[0017] The portable analysis system according to the present invention comprises a predictive model, software neural networks, mobile device (cell phone), digital images colorimetric method and reaction medium.

[0018] The present invention physically comprises two items of software (IS1 and IS2), an item of hardware (IH) and a reaction item (IR) Item IS1 consists of a regression algorithm set developed with computer vision and machine learning techniques to quantify/predict the concentration of various analytes.

[0019] Quantification is carried out based on the analysis with the IR and the processing of reaction images, taking as examples those originating from colorimetric and turbidimetric, captured by digital cameras. Regression algorithms are based on deep artificial neural networks which predictive models are fitted using supervised reverse propagation.

[0020] Item IS2 is a mobile app developed to instruct the user/analyst and assist him in capturing the digital images used in the adjustment of predictive models and in the application of adjusted models in the quantification of the aforementioned analytes.

[0021] Item of hardware (I H) consists of a three-dimensional geometric models set, called capture chambers, physically created by an additive manufacturing process (3D printing). The capture cameras are coupled to the mobile device in order to provide ideal conditions for capturing the digital images submitted to the predictive models.

[0022] The combination of these elements guarantees the invention portability, enabling its application in remote situations, obtaining analysis results without the need for equipments other than a cell phone.

[0023] Chemical reactions are carried out in the IR with specially formulated reagents. Reaction products are modified media that allow the distinction of images depending on the concentration of the analyte of interest, including preparation to eliminate any interference by other constituents of the samples.

EXAMPLES

[0024] The following examples are presented in order to more fully illustrate the nature of the present invention and the way to practice the same, without, however, being considered as limiting its content.

[0025] Tests were developed with the system of the present invention for the determination of alkalinity, phosphate, chloride and sulfate concentrations as described below.

Example 1: Determination of Alkalinity

[0026] To measure the alkalinity parameter, a test was carried out based on the sample interaction with a reagent solution (mixture of acid with indicator) and it is noted the formation of color in the sample (this inside an appropriate chamber to maximize the effect of artificial light incident and avoid contamination with ambient light).

[0027] From the analysis of the sample using the camera of a cell phone and the processing of this image obtained. Based on this information, the quantification of the target parameter is based on an initial calibration curve already processed.

Example 2: Determination of Phosphate Concentration

[0028] To measure the phosphate parameter, a test was performed based on the interaction of the sample with a reagent solution (in order to produce an effect of staining the sample) inside a suitable chamber to maximize the effect of the incident artificial light and avoid contamination with ambient light.

[0029] From the analysis of the sample using a cell phone camera and the processing of this image obtained, considering the color formation. Based on this information, the quantification of the target parameter is based on an initial calibration curve already processed.

Example 3: Determination of Chloride Concentration

[0030] To measure the chloride parameter, a test was performed based on the interaction of the sample with a reagent solution (which induces precipitation of the analyte) resulting in a cloudy medium. The analysis is carried out inside an appropriate chamber to maximize the effect of the incident artificial light and to avoid contamination with ambient light.

[0031] From the analysis of the sample using a cell phone camera and the processing of this image obtained, considering the formation of turbidity, shape and type of particle formed. Based on this information, the quantification of the target parameter is based on an initial calibration curve already processed.

Example 4: Determination of Sulfate Concentration

[0032] To measure the sulfate parameter, a test was performed based on the interaction of the sample with a reagent solution (which induces precipitation of the analyte) resulting in a turbid medium. The analysis is carried out inside an appropriate chamber to maximize the effect of the incident artificial light and to avoid contamination with ambient light.

[0033] From the analysis of the sample using a cell phone camera and the processing of this image obtained, considering the formation of turbidity. Based on this information, the quantification of the target parameter is based on an initial calibration curve already processed.

[0034] It should be noted that, although the present invention has been described with reference to the accompanying drawings, it may undergo modifications and adaptations by skilled in the art, depending on the specific situation, but as long as they are within the inventive scope defined herein.