CN112505004A - Fluorescence detection method and device and computer equipment - Google Patents
Fluorescence detection method and device and computer equipment Download PDFInfo
- Publication number
- CN112505004A CN112505004A CN202011178656.4A CN202011178656A CN112505004A CN 112505004 A CN112505004 A CN 112505004A CN 202011178656 A CN202011178656 A CN 202011178656A CN 112505004 A CN112505004 A CN 112505004A
- Authority
- CN
- China
- Prior art keywords
- sample
- fluorescence
- wavelength range
- oil
- emission wavelength
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/62—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light
- G01N21/63—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light optically excited
- G01N21/64—Fluorescence; Phosphorescence
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/62—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light
- G01N21/63—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light optically excited
- G01N21/64—Fluorescence; Phosphorescence
- G01N2021/6417—Spectrofluorimetric devices
- G01N2021/6419—Excitation at two or more wavelengths
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/62—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light
- G01N21/63—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light optically excited
- G01N21/64—Fluorescence; Phosphorescence
- G01N2021/6417—Spectrofluorimetric devices
- G01N2021/6421—Measuring at two or more wavelengths
Abstract
The embodiment of the application discloses a fluorescence detection method, a fluorescence detection device and computer equipment, and belongs to the field of oil-gas exploration and development. The method comprises the following steps: acquiring a fluorescence spectrum of a sample, wherein the fluorescence spectrum comprises fluorescence intensity corresponding to any excitation wavelength and any emission wavelength; the excitation wavelength is the wavelength of ultraviolet light irradiating the sample, the emission wavelength is the wavelength of fluorescence emitted by the sample after being irradiated by the ultraviolet light, and the fluorescence intensity is the intensity of the fluorescence emitted by the sample after being irradiated by the ultraviolet light; dividing the fluorescence spectrum into a plurality of regions according to a preset plurality of wavelength ranges, wherein the wavelength ranges comprise at least one of an excitation wavelength range or an emission wavelength range; and counting the fluorescence intensity in each region to obtain an oil-gas index, and determining the fluid type of the sample according to the oil-gas index. The method and the device can improve the efficiency of fluorescence detection and the accuracy of detection results.
Description
Technical Field
The embodiment of the application relates to the field of oil and gas exploration and development, in particular to a fluorescence detection method, a fluorescence detection device and computer equipment.
Background
In the field of oil and gas exploration and development, a fluorescence detection technology is an important means for detecting the oil and gas content, and the fluorescence detection technology is a technology for judging the oil content of a sample by irradiating an oil-containing sample with ultraviolet light and observing fluorescence emitted by the sample. At present, an operator usually observes the fluorescence emitted by the sample by naked eyes or observes the fluorescence emitted by the sample by a microscope, but the method has high requirements on the operator, consumes a large amount of labor cost and has low detection efficiency.
Disclosure of Invention
The embodiment of the application provides a fluorescence detection method, a fluorescence detection device and computer equipment, which can improve the efficiency of fluorescence detection. The technical scheme is as follows:
in one aspect, a fluorescence detection method is provided, comprising:
acquiring a fluorescence spectrum of a sample, wherein the fluorescence spectrum comprises fluorescence intensity corresponding to any excitation wavelength and any emission wavelength; the excitation wavelength is the wavelength of ultraviolet light irradiating the sample, the emission wavelength is the wavelength of fluorescence emitted by the sample after being irradiated by the ultraviolet light, and the fluorescence intensity is the intensity of the fluorescence emitted by the sample after being irradiated by the ultraviolet light;
dividing the fluorescence spectrum into a plurality of regions according to a preset plurality of wavelength ranges, wherein the wavelength ranges comprise at least one of an excitation wavelength range or an emission wavelength range;
and counting the fluorescence intensity in each region to obtain an oil-gas index, and determining the fluid type of the sample according to the oil-gas index.
In another possible implementation manner, the preset multiple wavelength ranges include an excitation wavelength range and a corresponding emission wavelength range, and the dividing the fluorescence spectrum into multiple regions according to the preset multiple wavelength ranges includes:
and dividing target areas corresponding to the excitation wavelength range and the emission wavelength range from the fluorescence spectrum.
In yet another possible implementation manner, the preset multiple wavelength ranges include a first emission wavelength range and a second emission wavelength range, and further include a first excitation wavelength range, a second excitation wavelength range and a corresponding third emission wavelength range;
the first emission wavelength range is 300-340 nm, and the second emission wavelength range is 340-380 nm; the first excitation wavelength range is less than 340 nm, the second excitation wavelength range is greater than 340 nm, and the third emission wavelength range is 380-500 nm;
the plurality of regions includes: a first target area, a second target area, a third target area, and a fourth target area;
the first target area is a target area corresponding to the first emission wavelength range;
the second target area is a target area corresponding to the second emission wavelength range;
the third target area is a target area corresponding to the first excitation wavelength range and the third emission wavelength range;
the fourth target area is a target area corresponding to the second excitation wavelength range and the third emission wavelength range.
In yet another possible implementation manner, the counting the fluorescence intensity in each region to obtain the hydrocarbon index includes:
respectively determining the sum of the fluorescence intensity corresponding to each emission wavelength and each excitation wavelength in each region as the fluorescence intensity of the region corresponding to each region;
counting the fluorescence intensity of the region corresponding to each region by adopting the following formula to obtain the oil-gas index:
F＝(V1+V2)/(V3+V4)；
wherein F represents the hydrocarbon index, V1 represents the regional fluorescence intensity corresponding to the first target region, V2 represents the regional fluorescence intensity corresponding to the second target region, V3 represents the regional fluorescence intensity corresponding to the third target region, and V4 represents the regional fluorescence intensity corresponding to the fourth target region.
In yet another possible implementation, the determining the fluid type of the sample according to the hydrocarbon gas index includes:
if the oil gas index is larger than a first preset threshold value and the fluorescence spectrum contains a single peak position, determining that the fluid type of the sample is gas;
if the oil gas index is larger than a second preset threshold and smaller than the first preset threshold and the fluorescence spectrum contains a single peak position, determining that the fluid type of the sample is oil gas;
if the oil gas index is larger than the second preset threshold and smaller than the first preset threshold, the fluorescence spectrum comprises double peak positions, and the fluorescence intensity difference value between one peak position and the other peak position is larger than a preset difference value, determining that the fluid type of the sample is oil gas;
and if the oil gas index is larger than a third preset threshold and smaller than the second preset threshold and the fluorescence spectrum comprises at least two peak positions, determining that the fluid type of the sample is oil.
In yet another possible implementation, after the determining the fluid type of the sample according to the hydrocarbon gas index, the method further includes:
acquiring the corresponding depth of the sample;
acquiring a recording image corresponding to a sampling well to which the sample belongs, wherein the recording image is used for recording logging data and logging data of the sampling well;
and adding the corresponding depth, the oil and gas index and the fluid type of the sample in an oil and gas index image area in the recorded image.
In yet another possible implementation, after the determining the fluid type of the sample according to the hydrocarbon gas index, the method further includes:
acquiring the depth and the sampling well serial number corresponding to the sample;
acquiring a recording image corresponding to the depth, wherein the recording image is used for recording the oil and gas indexes of a plurality of sampling wells in the stratum corresponding to the depth;
adding the sampling well serial number, the oil and gas index and the fluid type corresponding to the sample into the recorded image;
adding the fluid type to a fluid type profile based on the data for the at least one sample.
In another aspect, there is provided a fluorescence detection apparatus, the apparatus comprising:
the acquisition module is used for acquiring a fluorescence spectrum of a sample, wherein the fluorescence spectrum comprises any excitation wavelength and fluorescence intensity corresponding to any emission wavelength; the excitation wavelength is the wavelength of ultraviolet light irradiating the sample, the emission wavelength is the wavelength of fluorescence emitted by the sample after being irradiated by the ultraviolet light, and the fluorescence intensity is the intensity of the fluorescence emitted by the sample after being irradiated by the ultraviolet light;
the segmentation module is used for segmenting the fluorescence spectrum into a plurality of regions according to a plurality of preset wavelength ranges, wherein the wavelength ranges comprise at least one of an excitation wavelength range or an emission wavelength range;
and the counting module is used for counting the fluorescence intensity in each region to obtain an oil-gas index, and determining the fluid type of the sample according to the oil-gas index.
In another aspect, a computer device is provided, the computer device comprising a processor and a memory, the memory having stored therein at least one program code, the at least one program code being loaded into and executed by the processor to perform operations performed in the fluorescence detection method according to any of claims 1-8.
In another aspect, a computer-readable storage medium is provided, in which at least one program code is stored, the at least one program code being loaded and executed by a processor to implement the operations performed in the fluorescence detection method according to the above aspect.
The beneficial effects brought by the technical scheme provided by the embodiment of the application at least comprise:
the method, the device and the computer equipment provided by the embodiment of the application can conveniently and rapidly complete the division of the fluorescence spectrum of the sample, realize the identification of the sample by counting the fluorescence intensity in each divided region, thereby determining the fluid type of the sample.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1 is a flow chart of a fluorescence detection method provided in an embodiment of the present application;
FIG. 2 is a flow chart of a fluorescence detection method provided in an embodiment of the present application;
FIG. 3 is a diagram illustrating a fluorescence spectrum segmentation result provided in an embodiment of the present application;
FIG. 4 is a longitudinal distribution diagram of a hydrocarbon index provided by an embodiment of the present application;
FIG. 5 is a flow chart of a fluorescence detection method provided in an embodiment of the present application;
fig. 6 is a schematic structural diagram of a fluorescence detection apparatus according to an embodiment of the present application.
Detailed Description
To make the objects, technical solutions and advantages of the embodiments of the present application more clear, the embodiments of the present application will be further described in detail with reference to the accompanying drawings.
The terms "first," "second," "third," and the like as used herein may be used herein to describe various concepts that are not limited by these terms unless otherwise specified. These terms are only used to distinguish one concept from another. For example, a first wavelength range may be referred to as a wavelength range, and similarly, a second wavelength range may be referred to as a first wavelength range, without departing from the scope of the present application.
As used herein, the terms "at least one," "a plurality," "each," and "any," at least one of which includes one, two, or more than two, and a plurality of which includes two or more than two, each of which refers to each of the corresponding plurality, and any of which refers to any of the plurality. For example, the plurality of regions includes 4 regions, each of the 4 regions refers to each of the 4 regions, and any one of the 4 regions refers to any one of the 4 regions, which may be the first one, the second one, the third one, or the fourth one.
Fig. 1 is a flowchart of a fluorescence detection method provided in an embodiment of the present application, and as shown in fig. 1, the method includes:
101. a fluorescence spectrum of the sample is acquired.
Wherein the fluorescence spectrum comprises fluorescence intensity corresponding to any excitation wavelength and any emission wavelength; the excitation wavelength is the wavelength of ultraviolet light irradiating the sample, the emission wavelength is the wavelength of fluorescence emitted by the sample after being irradiated by the ultraviolet light, and the fluorescence intensity is the intensity of the fluorescence emitted by the sample after being irradiated by the ultraviolet light.
102. The fluorescence spectrum is divided into a plurality of regions in accordance with a plurality of preset wavelength ranges.
Wherein the wavelength range includes at least one of an excitation wavelength range or an emission wavelength range.
103. And (3) counting the fluorescence intensity in each region to obtain an oil-gas index, and determining the fluid type of the sample according to the oil-gas index.
The method provided by the embodiment of the application can conveniently and quickly segment the fluorescence spectrum of the sample, realizes sample identification by counting the fluorescence intensity in each segmented region, thereby determining the fluid type of the sample, does not need to observe the fluorescence emitted by the sample manually, saves the labor cost, improves the detection efficiency, avoids the influence of subjective factors in manual operation, reduces the error of a detection result, and improves the accuracy.
Fig. 2 is a flowchart of another fluorescence detection method provided in the embodiments of the present application, and as shown in fig. 2, the method includes:
201. a fluorescence spectrum of the sample is acquired.
In the embodiment of the application, ultraviolet light is emitted by a fluorescence spectrophotometer to excite a fluorescent substance in a sample to emit fluorescence, and the fluorescence is filtered, reflected, received by the fluorescence spectrophotometer and then displayed in a fluorescence spectrum form, so that the fluorescence spectrum of the sample is obtained.
And the fluorescence spectrophotometer can emit ultraviolet light with different wavelengths, and the sample can also emit fluorescence with different wavelengths, and correspondingly, the fluorescence spectrum of the sample comprises any excitation wavelength and fluorescence intensity corresponding to any emission wavelength. The excitation wavelength is the wavelength of ultraviolet light irradiating the sample, the emission wavelength is the wavelength of fluorescence emitted by the sample after being irradiated by the ultraviolet light, and the fluorescence intensity is the intensity of the fluorescence emitted by the sample after being irradiated by the ultraviolet light.
The fluorescence spectrum is used for providing fluorescence intensities corresponding to different excitation wavelengths and different emission wavelengths, and can also determine a peak position, the number of the peak positions or the shape of the peak position from the spectrum, wherein the fluorescence intensity of any position point is greater than the fluorescence intensities of two position points adjacent to the position point, so that the position point can be called as the peak position, and the fluorescence intensity of the position point is the peak intensity.
Optionally, the fluorescence spectrum comprises three axes, a first axis representing excitation wavelengths, a second axis representing emission wavelengths, and a third axis representing fluorescence intensity. Or the fluorescence spectrum comprises two coordinate axes, wherein the first coordinate axis represents the excitation wavelength, the second coordinate axis represents the emission wavelength, and the color in the fluorescence spectrum represents the fluorescence intensity. Or the fluorescence spectrum may take other forms.
202. And acquiring a plurality of preset wavelength ranges.
The wavelength range refers to a continuous set of wavelengths, and the plurality of wavelength ranges includes at least one of an excitation wavelength range including a plurality of continuous excitation wavelengths or an emission wavelength range including a plurality of continuous emission wavelengths. The computer device obtains a plurality of preset wavelength ranges, and then divides the fluorescence spectrum according to the plurality of wavelength ranges.
The preset wavelength ranges can be determined by an operator or by default by computer equipment.
Optionally, the plurality of wavelength ranges comprises an emission wavelength range.
Optionally, the plurality of wavelength ranges comprises an excitation wavelength range and a corresponding emission wavelength range.
Optionally, the plurality of wavelength ranges includes a first emission wavelength range and a second emission wavelength range, and further includes a first excitation wavelength range, a second excitation wavelength range, and a corresponding third emission wavelength range.
For example, the first emission wavelength range is 300-340 nm, and the second emission wavelength range is 340-380 nm; the first excitation wavelength range is less than 340 nm, the second excitation wavelength range is greater than 340 nm, and the third emission wavelength range is 380-500 nm.
203. The fluorescence spectrum is divided into a plurality of regions in accordance with a plurality of preset wavelength ranges.
The division refers to a process of determining a region corresponding to a wavelength range from a fluorescence spectrum.
The computer device acquires each of a plurality of preset wavelength ranges, and divides a region composed of position points corresponding to a plurality of wavelengths belonging to the wavelength range in the fluorescence spectrum. In the fluorescence spectrum, a plurality of excitation wavelengths belonging to the excitation wavelength range are specified for the excitation wavelength range, and the region composed of the position points corresponding to the plurality of excitation wavelengths is divided. In the fluorescence spectrum, a plurality of emission wavelengths belonging to the emission wavelength range are specified, and a region composed of position points corresponding to the plurality of emission wavelengths is divided.
For example, for an excitation wavelength range, a maximum excitation wavelength and a minimum excitation wavelength within the excitation wavelength range are determined, and the maximum excitation wavelength and the minimum excitation wavelength are marked on the coordinate axis of the excitation wavelength in the fluorescence spectrum, thereby dividing the region between the maximum excitation wavelength and the minimum excitation wavelength.
Optionally, the preset plurality of wavelength ranges includes an excitation wavelength range and a corresponding emission wavelength range, and accordingly, step 203 includes: and (3) dividing the target area corresponding to the excitation wavelength range and the emission wavelength range from the fluorescence spectrum.
Optionally, the preset plurality of wavelength ranges includes a first emission wavelength range and a second emission wavelength range, and further includes a first excitation wavelength range, a second excitation wavelength range and a corresponding third emission wavelength range, and accordingly, the plurality of regions includes: the target area comprises a first target area, a second target area, a third target area and a fourth target area, wherein the first target area is a target area corresponding to a first emission wavelength range, the second target area is a target area corresponding to a second emission wavelength range, the third target area is a target area corresponding to a first excitation wavelength range and a third emission wavelength range, and the fourth target area is a target area corresponding to a second excitation wavelength range and a third emission wavelength range.
For example, FIG. 3 provides a graph of the results of a fluorescence spectrum segmentation. As shown in fig. 3, the fluorescence spectrum is segmented to obtain a first target region according to the first emission wavelength range of 300-340 nm; according to the second emission wavelength range of 340-380 nm, the fluorescence spectrum is segmented to obtain a second target area; according to the first excitation wavelength range of less than 340 nm and the third emission wavelength range of 380-500 nm, the fluorescence spectrum is segmented to obtain a third target area; and dividing the fluorescence spectrum to obtain a fourth target region according to the second excitation wavelength range being larger than 340 nanometers and the third emission wavelength range being 380-500 nanometers.
By segmenting the fluorescence spectrum, the screening of the fluorescence intensity in the fluorescence spectrum is realized, the processing amount is reduced, the subsequent rapid statistics of the fluorescence intensity in the fluorescence spectrum is facilitated, and the processing efficiency is improved.
204. And (4) counting the fluorescence intensity in each region to obtain the oil-gas index.
Optionally, after the fluorescence spectrum is segmented to obtain a plurality of regions, for each region, the fluorescence intensity included in the region is obtained, and the obtained fluorescence intensities are counted to obtain the hydrocarbon index.
Optionally, the sum of the fluorescence intensities corresponding to each emission wavelength and each excitation wavelength in each region is respectively determined as the region fluorescence intensity corresponding to each region, and the region fluorescence intensity corresponding to each region is counted by using the following formula to obtain the oil gas index:
F＝(V1+V2)/(V3+V4)；
wherein F represents the hydrocarbon index, V1 represents the regional fluorescence intensity corresponding to the first target region, V2 represents the regional fluorescence intensity corresponding to the second target region, V3 represents the regional fluorescence intensity corresponding to the third target region, and V4 represents the regional fluorescence intensity corresponding to the fourth target region.
205. And determining the fluid type of the sample according to the oil gas index.
Wherein the fluid type of the sample is used to describe the fluid properties of the sample as one of the bases for whether to test the sample well to which the sample belongs.
Alternatively, the fluid type corresponding to the sample may be oil, natural gas, or other fluid types.
Optionally, if the hydrocarbon index is greater than a first preset threshold and the fluorescence spectrum contains a single peak position, determining that the fluid type of the sample is gas; if the oil gas index is larger than a second preset threshold and smaller than a first preset threshold and the fluorescence spectrum contains a single peak position, determining that the fluid type of the sample is oil gas; if the oil gas index is larger than a second preset threshold and smaller than a first preset threshold, the fluorescence spectrum comprises double peak positions, and the fluorescence intensity difference between one peak position and the other peak position is larger than a preset difference, the fluorescence intensity difference between the two peak positions is larger, and the dominant peak position is obvious, the fluid type of the sample is determined to be oil gas; and if the oil gas index is greater than a third preset threshold and less than a second preset threshold and the fluorescence spectrum comprises at least two peak positions, determining that the fluid type of the sample is oil.
Alternatively, each preset threshold and each preset difference may be determined by an operator, or may be determined by a computer device. For example, the first preset threshold is 6, the second preset threshold is 3.5, and the third preset threshold is 1.
Correspondingly, if the hydrocarbon index is more than 6 and the graphical feature of the fluorescence spectrum is a single peak, determining that the sample fluid type is natural gas; if the hydrocarbon index is more than 3.5 and less than 6 and the graphical feature of the fluorescence spectrum is a single peak, determining that the sample fluid type is hydrocarbon; if the oil gas index is more than 3.5 and less than 6, the pattern characteristic of the fluorescence spectrum is a double peak position, and the fluorescence intensity difference value between one peak position and the other peak position is more than a preset difference value, determining that the type of the sample fluid is oil gas; and if the oil gas index is more than 1 and less than 3.5 and the graphical feature of the fluorescence spectrum is a bimodal position or a trimodal position, determining that the sample fluid type is oil.
On the basis, the fluorescence intensity is considered, the fluid type of the sample can be determined by combining the number of peak positions in the fluorescence spectrum, the accuracy is improved, the number of the peak positions can be directly obtained from the fluorescence spectrum, complex statistics is not needed, and the identification process is simplified.
206. And adding the corresponding depth, the oil and gas index and the fluid type of the sample in the recorded image of the sampling well.
The sample comes from the sampling well, and has certain depth in the sampling well, in order to facilitate accurate record data, set up the record image for every sampling well, this record image is used for recording the log data and log data of sampling well. After the oil and gas index and the fluid type of the sample are obtained, the depth corresponding to the sample can be obtained, the recording image corresponding to the sampling well to which the sample belongs is obtained, and the depth, the oil and gas index and the fluid type corresponding to the sample are added in the oil and gas index image area in the recording image, so that the data of the sample are recorded.
The recording image corresponding to the sampling well can be a logging and logging map of the sampling well, and can also be other images comprising logging data and logging data of the sampling well.
It should be noted that, the present embodiment is only described by taking one sample as an example, and the above steps may be performed to acquire and record data of the sample for any sample. Correspondingly, for any sampling well, the depth, the oil and gas index and the fluid type corresponding to the samples from the sampling well with different depths can be obtained by executing the steps, and the depth, the oil and gas index and the fluid type corresponding to the samples from the sampling well with different depths are added into the recorded image of the sampling well, so that the oil and gas index and the fluid type can be longitudinally mapped according to the depth for the same sampling well. Operators can directly acquire the oil gas indexes and the fluid types corresponding to different depths in the sampling well from the graph, so that the depth of the reservoir with obvious mining advantages is judged, and data support is provided for evaluation of the oil-gas-containing layer.
207. And adding the sampling well serial number, the oil and gas index and the fluid type corresponding to the sample into the depth recording image.
The sample is taken from a sampling well and has a certain depth in the sampling well, and in order to facilitate accurate recording of data, a recorded image is provided for each depth, and the recorded image is used for recording depth data. After the oil gas index and the fluid type of the sample are obtained, the sampling well serial number corresponding to the sample can be obtained, a recording image corresponding to the depth to which the sample belongs is obtained, and the sampling well serial number, the oil gas index and the fluid type corresponding to the sample are added into the recording image, so that the data of the sample are recorded.
It should be noted that, the present embodiment is only described by taking one sample as an example, and the above steps may be performed to acquire and record data of the sample for any sample. Correspondingly, for any depth, by executing the steps, the sampling well serial numbers, the oil and gas indexes and the fluid types corresponding to the samples from the different sampling wells at the depth can be obtained, and then the sampling well serial numbers, the oil and gas indexes and the fluid types corresponding to the samples from the different sampling wells at the depth are added into the recorded image at the depth, so that the oil and gas indexes and the fluid types are transversely mapped according to the sampling well serial numbers for the same depth. An operator can directly obtain the oil gas indexes and the fluid types corresponding to different sampling wells under the depth condition from the graph, so that the sampling wells with obvious mining advantages under the depth condition are judged, and data support is provided for evaluation of an oil-gas-bearing stratum.
The method provided by the embodiment of the application can conveniently and quickly segment the fluorescence spectrum of the sample, realizes sample identification by counting the fluorescence intensity in each segmented region, thereby determining the fluid type of the sample, does not need to observe the fluorescence emitted by the sample manually, saves the labor cost, improves the detection efficiency, avoids the influence of subjective factors in manual operation, reduces the error of a detection result, and improves the accuracy.
In addition, by segmenting the fluorescence spectrum, the screening of the fluorescence intensity in the fluorescence spectrum is realized, the processing amount is reduced, the subsequent rapid statistics of the fluorescence intensity in the fluorescence spectrum is facilitated, and the processing efficiency is improved.
And a plurality of threshold values are preset, so that a numerical standard is provided for identification of the sample fluid type, the identification process is simplified, on the basis, the fluorescence intensity is considered, the fluid type of the sample is determined by combining the number of peak positions in the fluorescence spectrum, the accuracy is improved, the number of peak positions can be directly obtained from the fluorescence spectrum, complex statistics is not needed, and the identification process is simplified.
And in addition, the depth, the oil and gas index and the fluid type corresponding to the sample are added into the recorded image of the sampling well, and the oil and gas index and the fluid type are longitudinally mapped according to the depth for the same sampling well. Operators can directly acquire the oil gas indexes and the fluid types corresponding to different depths in the sampling well from the graph, so that the depth of the reservoir with obvious mining advantages is judged, and data support is provided for evaluation of the oil-gas-containing layer.
And in the depth recording image, the sampling well serial number, the oil gas index and the fluid type corresponding to the sample are added, and the oil gas index and the fluid type are transversely mapped according to the sampling well serial number for the same depth. An operator can directly obtain the oil gas indexes and the fluid types corresponding to different sampling wells under the depth condition from the graph, so that the sampling wells with obvious mining advantages under the depth condition are judged, and data support is provided for evaluation of an oil-gas-bearing stratum.
Fig. 5 is a flowchart of another fluorescence detection method provided in the embodiments of the present application, and as shown in fig. 5, the method includes:
501. quantitative fluorescence spectra of the samples were collected.
And acquiring quantitative fluorescence data of the rock debris sample, wherein the quantitative fluorescence data refers to sample fluorescence data obtained by irradiating the sample with ultraviolet light with a certain wavelength, so as to obtain a fluorescence spectrum of the sample.
502. The fluorescence spectrum is segmented.
The fluorescence spectrum collected from the sample is divided into a plurality of target regions as shown in fig. 3 according to the range defined by the excitation wavelength and the emission wavelength.
503. And calculating the oil gas index.
And calculating the fluorescence intensity in a plurality of target areas to obtain an oil gas index F, and determining the fluid type of the sample according to the F and other standards. The division criteria for sample fluid types are shown in table 1.
TABLE 1
504. And (5) longitudinally mapping the oil gas index.
And combining the logging and the logging map of the sampling well to carry out oil and gas index longitudinal mapping to obtain an oil and gas index longitudinal distribution map shown in figure 4.
505. And marking and explaining the longitudinal distribution diagram of the oil and gas index.
And marking and explaining the longitudinal oil and gas index distribution diagram according to the division standard of the sample fluid type, and explaining by combining with other geological information. For example: as can be seen from FIG. 4, the hydrocarbon index reflects that 3990-4055m has a significant high value advantage, and the high matching value of the hydrocarbon index and the equivalent oil content reflects that the hydrocarbon interval of the 3990-4055m interval is superior to that of the 4120-4135m interval.
506. And combining a plurality of adjacent sampling wells to perform planar mapping.
And acquiring the serial number and the advantageous interval of each sampling well for a plurality of adjacent sampling wells, and adding the serial number and the advantageous interval of each sampling well in a plan view, wherein the advantageous interval is a depth range to which the depth of the sample with the fluid type of oil or oil gas belongs, so that the plan view of the adjacent sampling wells is realized. The operator can directly acquire the serial number and the advantageous interval of each adjacent sampling well from the graph, and data support is provided for evaluation of the hydrocarbon-bearing stratum.
The method provided by the embodiment of the application can be matched with oil-containing levels and peak position shape characteristics to identify oil gas display, and can be used for determining the interval with the mining advantage by marking the longitudinal oil gas index distribution diagram, so that the advantageous interval corresponding to each sampling well is obtained, the detection steps are simplified, the detection efficiency is improved, the method is easy to popularize and convenient to use, and the exploration work of oil gas can be effectively guided.
Fig. 6 is a schematic structural diagram of a fluorescence detection apparatus provided in an embodiment of the present application, and as shown in fig. 6, the apparatus includes: an obtaining module 601, a dividing module 602, and a counting module 603.
The acquisition module 601 is configured to acquire a fluorescence spectrum of a sample, where the fluorescence spectrum includes a fluorescence intensity corresponding to any excitation wavelength and any emission wavelength; the excitation wavelength is the wavelength of ultraviolet light irradiating the sample, the emission wavelength is the wavelength of fluorescence emitted by the sample after being irradiated by the ultraviolet light, and the fluorescence intensity is the intensity of the fluorescence emitted by the sample after being irradiated by the ultraviolet light;
a dividing module 602, configured to divide the fluorescence spectrum into a plurality of regions according to a plurality of preset wavelength ranges, where a wavelength range includes at least one of an excitation wavelength range or an emission wavelength range;
and the statistical module 603 is configured to perform statistics on the fluorescence intensity in each region to obtain an oil-gas index, and determine the fluid type of the sample according to the oil-gas index.
The fluorescence detection device that this application embodiment provided can accomplish the segmentation to sample fluorescence spectrum conveniently, fast, through making statistics of the fluorescence intensity in every region after cutting apart, realizes sample identification to confirm the fluid type of sample, the device need not the manual work and observes the fluorescence of sample emission, has saved the human cost, has improved detection efficiency, has avoided the influence of subjective factor among the manual operation, has reduced the error of testing result, has improved the accuracy.
Optionally, the preset plurality of wavelength ranges includes an emission wavelength range, and the segmentation module 602 includes: and the first segmentation unit is used for segmenting the target area corresponding to the emission wavelength range from the fluorescence spectrum.
Optionally, the preset plurality of wavelength ranges includes an excitation wavelength range and a corresponding emission wavelength range, and the segmentation module 602 includes: and the second division unit is used for dividing the target area corresponding to the excitation wavelength range and the emission wavelength range from the fluorescence spectrum.
Optionally, the apparatus further comprises: the preset multiple wavelength ranges comprise a first emission wavelength range, a second emission wavelength range, a first excitation wavelength range, a second excitation wavelength range and a corresponding third emission wavelength range;
the first emission wavelength range is 300-340 nm, and the second emission wavelength range is 340-380 nm; the first excitation wavelength range is less than 340 nm, the second excitation wavelength range is greater than 340 nm, and the third emission wavelength range is 380-500 nm;
the plurality of regions includes: a first target area, a second target area, a third target area, and a fourth target area;
the first target area is a target area corresponding to the first emission wavelength range;
the second target area is a target area corresponding to a second emission wavelength range;
the third target area is a target area corresponding to the first excitation wavelength range and the third emission wavelength range;
the fourth target region is a target region corresponding to the second excitation wavelength range and the third emission wavelength range.
Optionally, the statistic module 603 includes:
the region intensity determining unit is used for respectively determining the sum of the fluorescence intensity corresponding to each emission wavelength and each excitation wavelength in each region as the region fluorescence intensity corresponding to each region;
the statistical unit is used for counting the fluorescence intensity of the region corresponding to each region by adopting the following formula to obtain the oil gas index:
F＝(V1+V2)/(V3+V4)；
wherein F represents the hydrocarbon index, V1 represents the regional fluorescence intensity corresponding to the first target region, V2 represents the regional fluorescence intensity corresponding to the second target region, V3 represents the regional fluorescence intensity corresponding to the third target region, and V4 represents the regional fluorescence intensity corresponding to the fourth target region.
Optionally, the statistics module 603 is configured to:
if the oil gas index is larger than a first preset threshold value and the fluorescence spectrum contains a single peak position, determining that the fluid type of the sample is gas;
if the oil gas index is larger than a second preset threshold and smaller than a first preset threshold and the fluorescence spectrum contains a single peak position, determining that the fluid type of the sample is oil gas;
if the oil gas index is larger than a second preset threshold and smaller than a first preset threshold, the fluorescence spectrum comprises double peak positions, and the fluorescence intensity difference value between one peak position and the other peak position is larger than a preset difference value, determining the fluid type of the sample as oil gas;
and if the oil gas index is greater than a third preset threshold and less than a second preset threshold and the fluorescence spectrum comprises at least two peak positions, determining that the fluid type of the sample is oil.
Optionally, the apparatus further comprises:
the obtaining module 601 is further configured to obtain a depth corresponding to the sample;
the acquisition module 601 is further configured to acquire a recorded image corresponding to the sampling well to which the sample belongs, where the recorded image is used to record logging data and logging data of the sampling well;
and the adding module 604 is used for adding the corresponding depth, the hydrocarbon index and the fluid type of the sample in the hydrocarbon index image area in the recorded image.
Optionally, the apparatus further comprises:
the acquisition module 601 is used for acquiring the depth and the sampling well serial number corresponding to the sample; acquiring a recording image corresponding to the depth, wherein the recording image is used for recording the oil and gas indexes of a plurality of sampling wells in the stratum corresponding to the depth;
the adding module 604 is used for adding the sampling well serial number, the oil and gas index and the fluid type corresponding to the sample in the recorded image; adding the fluid type in the fluid type profile based on the data of the at least one sample.
All the above optional technical solutions may be combined arbitrarily to form optional embodiments of the present application, and are not described herein again.
The embodiment of the present application further provides a computer device, which includes a processor and a memory, where the memory stores at least one program code, and the at least one program code is loaded and executed by the processor to implement the operations performed in the fluorescence detection method of the above embodiment.
The present embodiments also provide a computer-readable storage medium having at least one program code stored therein, where the at least one program code is loaded and executed by a processor to implement the operations performed in the fluorescence detection method of the above embodiments.
Embodiments of the present application also provide a computer program product or a computer program comprising computer program code stored in a computer readable storage medium. The processor of the computer apparatus reads the computer program code from the computer-readable storage medium, and the processor executes the computer program code, so that the computer apparatus implements the operations performed in the fluorescence detection method according to the above-described embodiments.
It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by a program instructing relevant hardware, where the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.
The above description is only an alternative embodiment of the present application and should not be construed as limiting the present application, and any modification, equivalent replacement, or improvement made within the spirit and principle of the present application should be included in the protection scope of the present application.
Claims (10)
1. A method of fluorescence detection, the method comprising:
acquiring a fluorescence spectrum of a sample, wherein the fluorescence spectrum comprises fluorescence intensity corresponding to any excitation wavelength and any emission wavelength; the excitation wavelength is the wavelength of ultraviolet light irradiating the sample, the emission wavelength is the wavelength of fluorescence emitted by the sample after being irradiated by the ultraviolet light, and the fluorescence intensity is the intensity of the fluorescence emitted by the sample after being irradiated by the ultraviolet light;
dividing the fluorescence spectrum into a plurality of regions according to a preset plurality of wavelength ranges, wherein the wavelength ranges comprise at least one of an excitation wavelength range or an emission wavelength range;
and counting the fluorescence intensity in each region to obtain an oil-gas index, and determining the fluid type of the sample according to the oil-gas index.
2. The method of claim 1, wherein the predetermined plurality of wavelength ranges comprises an emission wavelength range, and wherein the dividing the fluorescence spectrum into a plurality of regions according to the predetermined plurality of wavelength ranges comprises:
and segmenting the target area corresponding to the emission wavelength range from the fluorescence spectrum.
3. The method of claim 1, wherein the predetermined plurality of wavelength ranges comprises an excitation wavelength range and a corresponding emission wavelength range, and wherein the dividing the fluorescence spectrum into a plurality of regions according to the predetermined plurality of wavelength ranges comprises:
and dividing target areas corresponding to the excitation wavelength range and the emission wavelength range from the fluorescence spectrum.
4. The method of claim 1, wherein the predetermined plurality of wavelength ranges comprises a first emission wavelength range and a second emission wavelength range, and further comprises a first excitation wavelength range, a second excitation wavelength range, and a corresponding third emission wavelength range;
the first emission wavelength range is 300-340 nm, and the second emission wavelength range is 340-380 nm; the first excitation wavelength range is less than 340 nm, the second excitation wavelength range is greater than 340 nm, and the third emission wavelength range is 380-500 nm;
the plurality of regions includes: a first target area, a second target area, a third target area, and a fourth target area;
the first target area is a target area corresponding to the first emission wavelength range;
the second target area is a target area corresponding to the second emission wavelength range;
the third target area is a target area corresponding to the first excitation wavelength range and the third emission wavelength range;
the fourth target area is a target area corresponding to the second excitation wavelength range and the third emission wavelength range.
5. The method of claim 4, wherein the counting the fluorescence intensity in each region to obtain the hydrocarbon index comprises:
respectively determining the sum of the fluorescence intensity corresponding to each emission wavelength and each excitation wavelength in each region as the fluorescence intensity of the region corresponding to each region;
counting the fluorescence intensity of the region corresponding to each region by adopting the following formula to obtain the oil-gas index:
F＝(V1+V2)/(V3+V4)；
wherein F represents the hydrocarbon index, V1 represents the regional fluorescence intensity corresponding to the first target region, V2 represents the regional fluorescence intensity corresponding to the second target region, V3 represents the regional fluorescence intensity corresponding to the third target region, and V4 represents the regional fluorescence intensity corresponding to the fourth target region.
6. The method of claim 1, wherein said determining a fluid type of the sample from the hydrocarbon index comprises:
if the oil gas index is larger than a first preset threshold value and the fluorescence spectrum contains a single peak position, determining that the fluid type of the sample is gas;
if the oil gas index is larger than a second preset threshold and smaller than the first preset threshold and the fluorescence spectrum contains a single peak position, determining that the fluid type of the sample is oil gas;
if the oil gas index is larger than the second preset threshold and smaller than the first preset threshold, the fluorescence spectrum comprises double peak positions, and the fluorescence intensity difference value between one peak position and the other peak position is larger than a preset difference value, determining that the fluid type of the sample is oil gas;
and if the oil gas index is larger than a third preset threshold and smaller than the second preset threshold and the fluorescence spectrum comprises at least two peak positions, determining that the fluid type of the sample is oil.
7. The method of claim 1, wherein after determining the fluid type of the sample from the hydrocarbon index, the method further comprises:
acquiring the corresponding depth of the sample;
acquiring a recording image corresponding to a sampling well to which the sample belongs, wherein the recording image is used for recording logging data and logging data of the sampling well;
and adding the corresponding depth, the oil and gas index and the fluid type of the sample in an oil and gas index image area in the recorded image.
8. The method of claim 1, wherein after determining the fluid type of the sample from the hydrocarbon index, the method further comprises:
acquiring the depth and the sampling well serial number corresponding to the sample;
acquiring a recording image corresponding to the depth, wherein the recording image is used for recording the oil and gas indexes of a plurality of sampling wells in the stratum corresponding to the depth;
adding the sampling well serial number, the oil and gas index and the fluid type corresponding to the sample into the recorded image;
adding the fluid type to a fluid type profile based on the data for the at least one sample.
9. A fluorescence detection device, comprising:
the acquisition module is used for acquiring a fluorescence spectrum of a sample, wherein the fluorescence spectrum comprises any excitation wavelength and fluorescence intensity corresponding to any emission wavelength; the excitation wavelength is the wavelength of ultraviolet light irradiating the sample, the emission wavelength is the wavelength of fluorescence emitted by the sample after being irradiated by the ultraviolet light, and the fluorescence intensity is the intensity of the fluorescence emitted by the sample after being irradiated by the ultraviolet light;
the segmentation module is used for segmenting the fluorescence spectrum into a plurality of regions according to a plurality of preset wavelength ranges, wherein the wavelength ranges comprise at least one of an excitation wavelength range or an emission wavelength range;
and the counting module is used for counting the fluorescence intensity in each region to obtain an oil-gas index, and determining the fluid type of the sample according to the oil-gas index.
10. A computer device, characterized in that the computer device comprises a processor and a memory, in which at least one program code is stored, which is loaded and executed by the processor to implement the operations performed in the fluorescence detection method according to any of claims 1-8.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011178656.4A CN112505004B (en) | 2020-10-29 | 2020-10-29 | Fluorescence detection method and device and computer equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011178656.4A CN112505004B (en) | 2020-10-29 | 2020-10-29 | Fluorescence detection method and device and computer equipment |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112505004A true CN112505004A (en) | 2021-03-16 |
| CN112505004B CN112505004B (en) | 2022-11-01 |
Family
ID=74954529
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011178656.4A Active CN112505004B (en) | 2020-10-29 | 2020-10-29 | Fluorescence detection method and device and computer equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112505004B (en) |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104076020A (en) * | 2014-07-22 | 2014-10-01 | 中国海洋石油总公司 | Method for recognizing reservoir fluid property by adopting three-dimensional quantitative fluorescent longitudinal parametric variation trend |
| CN104100262A (en) * | 2014-07-22 | 2014-10-15 | 中国海洋石油总公司 | Method for identifying properties of reservoir fluid by three-dimensional quantitative fluorescence parameter charts |
| DE102014222331A1 (en) * | 2014-10-31 | 2016-05-04 | Hochschule Für Angewandte Wissenschaften Coburg | Method for quantifying the oxidation stability and / or the degree of aging of a fuel |
| CN108801986A (en) * | 2018-03-05 | 2018-11-13 | 中海石油（中国）有限公司天津分公司 | Derive parameter using 3-D quantitative fluorescence pattern and judges oil and the method for fluid type |
-
2020
- 2020-10-29 CN CN202011178656.4A patent/CN112505004B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104076020A (en) * | 2014-07-22 | 2014-10-01 | 中国海洋石油总公司 | Method for recognizing reservoir fluid property by adopting three-dimensional quantitative fluorescent longitudinal parametric variation trend |
| CN104100262A (en) * | 2014-07-22 | 2014-10-15 | 中国海洋石油总公司 | Method for identifying properties of reservoir fluid by three-dimensional quantitative fluorescence parameter charts |
| DE102014222331A1 (en) * | 2014-10-31 | 2016-05-04 | Hochschule Für Angewandte Wissenschaften Coburg | Method for quantifying the oxidation stability and / or the degree of aging of a fuel |
| CN108801986A (en) * | 2018-03-05 | 2018-11-13 | 中海石油（中国）有限公司天津分公司 | Derive parameter using 3-D quantitative fluorescence pattern and judges oil and the method for fluid type |
Non-Patent Citations (2)
| Title |
|---|
| 燕子杰等: "三维荧光录井技术在胜利油田油质判识中的应用", 《石油地质与工程》 * |
| 郭书生等: "三维定量荧光录井技术在琼东南盆地陵水凹陷气层评价中的应用", 《录井工程》 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112505004B (en) | 2022-11-01 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| EP3721406B1 (en) | Method of computing tumor spatial and inter-marker heterogeneity | |
| JP6222584B2 (en) | Cell-based tissue analysis | |
| EP1470411B1 (en) | Method for quantitative video-microscopy and associated system and computer software program product | |
| US10846848B2 (en) | System for bright field image simulation | |
| US11869176B2 (en) | Hyperspectral imaging system | |
| CA2604317C (en) | Methods and system for validating sample images for quantitative immunoassays | |
| EP3839812A2 (en) | Systems and methods for generating regions in an image encompassing tumor cells | |
| US20110182490A1 (en) | Visualization of stained samples | |
| Furrer et al. | Validation of a new classifier for the automated analysis of the human epidermal growth factor receptor 2 (HER2) gene amplification in breast cancer specimens | |
| CN103608840A (en) | Method and apparatus for compressing imaging data of whole blood sample analyses | |
| US20120052063A1 (en) | Automated detection of breast cancer lesions in tissue | |
| WO2019181845A1 (en) | Biological tissue analyzing device, biological tissue analyzing program, and biological tissue analyzing method | |
| US11861881B2 (en) | Critical component detection using deep learning and attention | |
| CN112505004B (en) | Fluorescence detection method and device and computer equipment | |
| CN103476321A (en) | Classification of tumor tissue with a personalized threshold | |
| CN112730361A (en) | Ultraviolet multiband chromatography test method and device for petroleum fluorescent logging detection | |
| US20210398321A1 (en) | Method for identification of different categories of biopsy sample images | |
| EP4120187A1 (en) | A method for measuring a prognostic marker in prostate cancer | |
| JP2022535798A (en) | Hyperspectral quantitative imaging cytometry system | |
| US11908130B2 (en) | Apparatuses and methods for digital pathology | |
| US20240070904A1 (en) | Optimized data processing for medical image analysis | |
| WO2022201691A1 (en) | Image diagnosis method, image diagnosis apparatus, and image diagnosis program | |
| Zhao et al. | Automated image analysis for applications in reservoir characterization | |
| US20150030215A1 (en) | Method and apparatus for producing an image of undiluted whole blood sample having wright stain coloration | |
| DE112022003308T5 (en) | INFORMATION PROCESSING DEVICE, MICROSCOPE SYSTEM AND INFORMATION PROCESSING METHOD |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |