1. A method for analysing the density of dolomite using X-ray radiation, comprising: generating X-ray radiation and directing it towards a sample of dolomite; detecting the X-ray radiation that passes through the sample; calculating the density of the dolomite sample based on the detected X-ray radiation.

2. The method of claim 1, further comprising comparing the density of the dolomite sample to a predetermined standard or reference value to determine the quality or purity of the dolomite.

3. The method of claim 1 or 2, wherein the X-ray radiation has a wavelength between about 0.01 nm to 100 nm.

4. The method of any of the preceding claims, wherein the X-ray radiation is generated by an X-ray tube or synchrotron radiation.

5. The method of any of the preceding claims, wherein the dolomite sample is in the form of a powder or a solid block.

6. The method of any of the preceding claims, wherein the detection of X-ray radiation is performed using a detector selected from the group consisting of a scintillation detector, a solid state detector, and a gas detector.

7. A system for analyzing the density of dolomite using X-ray radiation, comprising: an X-ray radiation source for generating X-ray radiation; a sample holder for holding a sample of dolomite; a detector for detecting the X-ray radiation that passes through the sample; and a processor for calculating the density of the dolomite sample based on the detected X-ray radiation.

8. The system of claim 7, further comprising a display for displaying the calculated density of the dolomite sample.

9. The system of claim 7, wherein the X-ray radiation source is an X-ray tube or synchrotron radiation. METHOD FOR DETERMINING OIL OR WATER AT GEOGRAPHIC LOCATION Abstract A data acquisition module for the purpose of gathering geophysical data of a subsurface formation may be included in embodiments of the current disclosure as part of a system for locating water or petroleum reservoirs in a subsurface formation. This system may contain other components as well. In some implementations, there may additionally be a processing module included, which is responsible for processing the geophysical data in order to produce a reservoir identification map. A display module that can show the reservoir identification map is another component that can be included in embodiments. , C , Claims:1. A system for identifying water or petroleum reservoir in a subsurface formation, comprising: a data acquisition module for obtaining geophysical data of the subsurface formation, a processing module for processing the geophysical data to generate a reservoir identification map, and a display module for displaying the reservoir identification map.

2. The system of claim 1, wherein the geophysical data is obtained using a seismic survey.

3. The system of claim 2, wherein the seismic survey uses one or more sources of seismic energy and one or more detectors to measure the response of the subsurface formation to the seismic energy.

4. The system of claim 1, wherein the processing module includes a data processing algorithm for analyzing the geophysical data and identifying areas of the subsurface formation that are likely to contain water or petroleum reservoir.

5. The system of claim 4, wherein the data processing algorithm includes one or more of amplitude analysis, frequency analysis, waveform analysis, and statistical analysis.

6. The system of claim 1, further comprising a data storage module for storing the geophysical data and the reservoir identification map.

7. The system of claim 1, wherein the display module includes a graphical user interface for displaying the reservoir identification map and allowing a user to interact with the map to explore and analyze the subsurface formation.

8. The system of claim 1, wherein the processing module is configured to generate a 3D model of the subsurface formation based on the geophysical data, and to display the reservoir identification map within the context of the 3D model.

9. The system of claim 1, further comprising a machine learning module for training a machine learning algorithm to identify water or petroleum reservoir based on the geophysical data, and for applying the machine learning algorithm to the geophysical data to generate the reservoir identification map.

10. A method for identifying water or petroleum reservoir in a subsurface formation, comprising obtaining geophysical data of the subsurface formation using a data acquisition module, processing the geophysical data using a processing module to generate a reservoir identification map, and displaying the reservoir identification map using a display module.

Description:METHOD FOR DETERMINING OIL OR WATER AT GEOGRAPHIC LOCATION
Field of the Invention
[0001] This invention is in the field of seismic data collection and prospecting. More specially towards system and method analysis of seismic signals to identify subsurface geological water and/or hydrocarbon (oil, gas, petroleum product) reservoirs.
Background
[0002] The background description includes information that may be useful in understanding the present invention. It is not an admission that any of the information provided herein is prior art or relevant to the presently claimed invention, or that any publication specifically or implicitly referenced is prior art.
[0003] Identifying underground water or petroleum reservoirs is a crucial task in the oil and gas industry, as well as in the field of hydrogeology. The success of exploration and production activities largely depends on the ability to locate and characterize these subsurface resources accurately and efficiently. Over the years, various techniques and technologies have been developed to achieve this goal. Electromagnetic (EM) methods, and gravity and magnetic surveys class of techniques that are commonly used for identifying subsurface reservoirs. These methods rely on measuring the electrical and magnetic properties of the subsurface, which are influenced by the presence of fluids, minerals, and other geological features. For example, time-domain electromagnetics (TDEM) and frequency-domain electromagnetics (FDEM) can be used to map the conductivity of the subsurface, which is related to the presence of fluids.
[0004] Gravity and magnetic surveys are also useful for identifying subsurface reservoirs, especially when dealing with dense or magnetic materials. These surveys measure the gravitational and magnetic fields of the earth, which can be affected by the density and magnetic properties of the subsurface rocks. By analyzing the anomalies in these fields, geophysicists can infer the location and extent of subsurface reservoirs. In addition to these geophysical techniques, drilling and sampling of the subsurface rocks and fluids can provide direct information on the presence and characteristics of underground reservoirs. Following exemplary patent literature disclose similar technique for underground petroleum product detection.
[0005] BRPI0410480A (By: OHM Ltd) A method of electromagnetic surveying of an area of seafloor that is thought or known to contain a subterranean hydrocarbon reservoir is described. The method includes broadcasting an EM signal from a horizontal electric dipole (HED) transmitter and obtaining vertical electric dipole (VED) response data at a remote receiver in response thereto. Survey data are analyzed by comparing the VED response data with background data which are not sensitive to the postulated hydrocarbon reservoir. Accordingly, differences between the VED response data and the background data allow for the identification of buried hydrocarbon reservoirs. The background data may be provided by magneto-telluric surveying, controlled source electromagnetic surveying or from direct geophysical measurement. By employing VED response data in this way, surveys may be performed in shallower water than has previously been possible since the VED detector is not sensitive to air-wave components of the EM field induced by the HED transmitter at the VED detector.
[0006] US9086359B (By: NUMATEX Inc)A process using Nuclear Magnetic Resonance (NMR) with pre-determined oil specimens at the earth's surface by which to match the location and lateral boundaries of any and every producible oil reservoir responsive to NMR technology, to provide estimates to useable industry standards of porosity and permeability of said reservoirs for exploration purposes by NMR, to detect and identify depth and direction of faults in any given oil area by NMR, to provide mapping of surveyed areas prior to drilling either offset or wildcat ventures resulting from NMR testing, to evaluate reservoir and production potential in existing oil fields by NMR, to detect the existence of natural gas by NMR, and the ability to condemn any proposed drilling location in view of failure.
[0007] WO2016112221A1 (By: The Regents of The University Of California) A system for mapping a depth of an aquifer and determining the presence and salinity of water from the aquifer and methods for using the making/using the same includes a central processor. One or more horizontal loop transmitters can be coupled to the central processor, wherein said one or more horizontal loop transmitters produce a first half-sine pulse of magnetic field at a first pulse duration for measuring the resistivity of a ground surface. The one or more horizontal loop transmitters can produce a second sequence of half-sine pulses at a second frequency for creating an excitation field for magnetic resonance sounding. A multi-turn receiver loop antenna can also be coupled to the central processor, wherein said multi-turn receiver loop antenna receives an induced magnetic field from said one or more horizontal loop transmitters that is representative of the depth of an aquifer and the salinity of the water.
[0008] However, these methods are expensive and time-consuming and lower accurate. Thus, there is remain need of newer technology to overcome limitations of current techniques.
Summary
[0009] The following presents a simplified summary of various aspects of this disclosure in order to provide a basic understanding of such aspects. This summary is not an extensive overview of all contemplated aspects, and is intended to neither identify key or critical elements nor delineate the scope of such aspects. Its purpose is to present some concepts of this disclosure in a simplified form as a prelude to the more detailed description that is presented later.
[00010] This invention is in the field of seismic data collection and prospecting. More specially towards system and method analysis of seismic signals to identify subsurface geological water and/or hydrocarbon (oil, gas, petroleum product) reservoirs.
[00011] The following paragraphs provide additional support for the claims of the subject application.
[00012] Embodiments of the present disclosure may include a system for identifying water or petroleum reservoir in a subsurface formation, including a data acquisition module for obtaining geophysical data of the subsurface formation. Embodiments may also include a processing module for processing the geophysical data to generate a reservoir identification map. Embodiments may also include a display module for displaying the reservoir identification map.
[00013] In some embodiments, the geophysical data may be obtained using a seismic survey. In some embodiments, the seismic survey uses one or more sources of seismic energy and one or more detectors to measure the response of the subsurface formation to the seismic energy. In some embodiments, the processing module includes a data processing algorithm for analyzing the geophysical data and identifying areas of the subsurface formation that may be likely to contain water or petroleum reservoir.
[00014] In some embodiments, the data processing algorithm includes one or more of amplitude analysis, frequency analysis, waveform analysis, and statistical analysis. In some embodiments, the system may include a data storage module for storing the geophysical data and the reservoir identification map. In some embodiments, the display module includes a graphical user interface for displaying the reservoir identification map and allowing a user to interact with the map to explore and analyze the subsurface formation.
[00015] In some embodiments, the processing module may be configured to generate a 3D model of the subsurface formation based on the geophysical data, and to display the reservoir identification map within the context of the 3D model. In some embodiments, the system may include a machine learning module for training a machine learning algorithm to identify water or petroleum reservoir based on the geophysical data, and for applying the machine learning algorithm to the geophysical data to generate the reservoir identification map.
[00016] Embodiments of the present disclosure may also include a method for identifying water or petroleum reservoir in a subsurface formation, including obtaining geophysical data of the subsurface formation using a data acquisition module. Embodiments may also include processing the geophysical data using a processing module to generate a reservoir identification map. Embodiments may also include displaying the reservoir identification map using a display module.
Brief Description of the Drawings
[00017] The features and advantages of the present disclosure would be more clearly understood from the following description taken in conjunction with the accompanying drawings in which:
[00018] FIG. 1 is a block diagram illustrating a system, according to some embodiments of the present disclosure.
[00019] FIG. 2 is a block diagram further illustrating the system from FIG. 1, according to some embodiments of the present disclosure.
[00020] FIG. 3 is a flowchart illustrating a method for identifying water or petroleum reservoir in a subsurface formation, according to some embodiments of the present disclosure.
Detailed Description
[00021] In the following detailed description of the invention, reference is made to the accompanying drawings that form a part hereof, and in which is shown, by way of illustration, specific embodiments in which the invention may be practiced. In the drawings, like numerals describe substantially similar components throughout the several views. These embodiments are described in sufficient detail to claim those skilled in the art to practice the invention. Other embodiments may be utilized and structural, logical, and electrical changes may be made without departing from the scope of the present invention. The following detailed description is, therefore, not to be taken in a limiting sense, and the scope of the present invention is defined only by the appended claims and equivalents thereof.
[00022] The use of the terms “a” and “an” and “the” and “at least one” and similar referents in the context of describing the invention (especially in the context of the following claims) are to be construed to cover both the singular and the plural, unless otherwise indicated herein or clearly contradicted by context. The use of the term “at least one” followed by a list of one or more items (for example, “at least one of A and B”) is to be construed to mean one item selected from the listed items (A or B) or any combination of two or more of the listed items (A and B), unless otherwise indicated herein or clearly contradicted by context. The terms “comprising,” “having,” “including,” and “containing” are to be construed as open-ended terms (i.e., meaning “including, but not limited to,”) unless otherwise noted. Recitation of ranges of values herein are merely intended to serve as a shorthand method of referring individually to each separate value falling within the range, unless otherwise indicated herein, and each separate value is incorporated into the specification as if it were individually recited herein. All methods described herein can be performed in any suitable order unless otherwise indicated herein or otherwise clearly contradicted by context. The use of any and all examples, or exemplary language (e.g., “such as”) provided herein, is intended merely to better illuminate the invention and does not pose a limitation on the scope of the invention unless otherwise claimed. No language in the specification should be construed as indicating any non-claimed element as essential to the practice of the invention.
[00023] This invention is in the field of seismic data collection and prospecting. More specially towards system and method analysis of seismic signals to identify subsurface geological water and/or hydrocarbon (oil, gas, petroleum product) reservoirs.
[00024] FIG. 1 is a block diagram that describes a system 100, according to some embodiments of the present disclosure. In some embodiments, the system 100 may include a data acquisition module 110 for obtaining geophysical data of the subsurface formation, a processing module 120 for processing the geophysical data to generate a reservoir identification map, and a display module 130 for displaying the reservoir identification map. In some embodiments, the geophysical data may be obtained using a seismic survey. In some embodiments, the seismic survey may use one or more sources of seismic energy and one or more detectors to measure the response of the subsurface formation to the seismic energy.
[00025] In some embodiments, the system 100 may include a data storage module for storing the geophysical data and the reservoir identification map. In some embodiments, the display module 130 may include a graphical user interface for displaying the reservoir identification map and allowing a user to interact with the map to explore and analyze the subsurface formation. In some embodiments, the processing module 120 may be configured to generate a 3D model of the subsurface formation based on the geophysical data, and to display the reservoir identification map within the context of the 3D model. In some embodiments, the system 100 may also include a machine learning module for training a machine learning algorithm to identify water or petroleum reservoir based on the geophysical data, and for applying the machine learning algorithm to the geophysical data to generate the reservoir identification map.
[00026] FIG. 2 is a block diagram that further describes the system 100 from FIG. 1, according to some embodiments of the present disclosure. In some embodiments, the processing module 120 may include a data processing algorithm 222 for analyzing the geophysical data and identifying areas of the subsurface formation that may be likely to. The data processing algorithm 222 may include water 224 and petroleum reservoir 226. In some embodiments, one or more of amplitude analysis, frequency analysis, waveform analysis, and statistical analysis.
[00027] FIG. 3 is a flowchart that describes a method for identifying water or petroleum reservoir in a subsurface formation, according to some embodiments of the present disclosure. In some embodiments, at 310, the method may include obtaining geophysical data of the subsurface formation using a data acquisition module. At 320, the method may include processing the geophysical data using a processing module to generate a reservoir identification map. At 330, the method may include displaying the reservoir identification map using a display module.
[00028] A data collection module for the purpose of gathering geophysical data of a subsurface formation may be included in embodiments of the current disclosure as part of a system for locating water or petroleum reservoirs in a subsurface formation. This system may contain other components as well. In certain implementations, there may additionally be a processing module included, which is responsible for processing the geophysical data in order to produce a reservoir identification map. A display module that can show the reservoir identification map is another component that may be included in embodiments.
[00029] In some implementations, the geophysical data might be acquired by the use of a seismic survey. A seismic survey may use one or more sources of seismic energy and one or more detectors to measure the reaction of the subsurface formation to the seismic energy, depending on the specific implementation. The processing module may, in certain implementations, comprise a data processing algorithm for the purpose of conducting an analysis of the geophysical data and locating regions of the subsurface formation that have a higher than average probability of containing a water or petroleum reservoir.
[00030] In certain implementations, the data processing method incorporates amplitude analysis, frequency analysis, waveform analysis, and statistical analysis, each on its own or in combination with the others. The system may, in some implementations, have a data storage module, which is responsible for storing the geophysical data as well as the reservoir identification map. In some implementations, the display module is equipped with a graphical user interface that not only displays the reservoir identification map but also enables the user to interact with the map in order to investigate and evaluate the subsurface formation.
[00031] The processing module may be configured in some embodiments to generate a three-dimensional model of the subsurface formation by using the geophysical data. Additionally, the processing module may be configured to display the reservoir identification map within the context of the three-dimensional model. The system may, in some implementations, include a machine learning module for the purpose of teaching a machine learning algorithm how to recognise a water or petroleum reservoir based on the geophysical data, as well as a module for applying the machine learning algorithm to the geophysical data in order to generate the reservoir identification map.
[00032] The present disclosure may also include embodiments of a method for identifying water or petroleum reservoir in a subsurface formation. This method may include obtaining geophysical data of the subsurface formation using a data acquisition module. Alternatively, this method may include identifying water or petroleum reservoir in the subsurface formation. In certain embodiments, generating a reservoir identification map also involves processing the geophysical data using a processing module. This may be done to produce the map. Displaying the reservoir identification map via the use of a display module is another possible aspect of embodiments.
[00033] Example embodiments herein have been described above with reference to block diagrams and flowchart illustrations of methods and apparatuses. It will be understood that each block of the block diagrams and flowchart illustrations, and combinations of blocks in the block diagrams and flowchart illustrations, respectively, can be implemented by various means including hardware, software, firmware, and a combination thereof. For example, in one embodiment, each block of the block diagrams and flowchart illustrations, and combinations of blocks in the block diagrams and flowchart illustrations can be implemented by computer program instructions. These computer program instructions may be loaded onto a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions which execute on the computer or other programmable data processing apparatus create means for implementing the functions specified in the flowchart block or blocks.
[00034] Throughout the present disclosure, the term ‘processing means’ or ‘microprocessor’ or ‘processor’ or ‘processors’ includes, but is not limited to, a general purpose processor (such as, for example, a complex instruction set computing (CISC) microprocessor, a reduced instruction set computing (RISC) microprocessor, a very long instruction word (VLIW) microprocessor, a microprocessor implementing other types of instruction sets, or a microprocessor implementing a combination of types of instruction sets) or a specialized processor (such as, for example, an application specific integrated circuit (ASIC), a field programmable gate array (FPGA), a digital signal processor (DSP), or a network processor).
[00035] The term “non-transitory storage device” or “storage” or “memory,” as used herein relates to a random access memory, read only memory and variants thereof, in which a computer can store data or software for any duration.
[00036] Operations in accordance with a variety of aspects of the disclosure is described above would not have to be performed in the precise order described. Rather, various steps can be handled in reverse order or simultaneously or not at all.
[00037] While several implementations have been described and illustrated herein, a variety of other means and/or structures for performing the function and/or obtaining the results and/or one or more of the advantages described herein may be utilized, and each of such variations and/or modifications is deemed to be within the scope of the implementations described herein. More generally, all parameters, dimensions, materials, and configurations described herein are meant to be exemplary and that the actual parameters, dimensions, materials, and/or configurations will depend upon the specific application or applications for which the teachings is/are used. Those skilled in the art will recognize, or be able to ascertain using no more than routine experimentation, many equivalents to the specific implementations described herein. It is, therefore, to be understood that the foregoing implementations are presented by way of example only and that, within the scope of the appended claims and equivalents thereto, implementations may be practiced otherwise than as specifically described and claimed. Implementations of the present disclosure are directed to each individual feature, system, article, material, kit, and/or method described herein. In addition, any combination of two or more such features, systems, articles, materials, kits, and/or methods, if such features, systems, articles, materials, kits, and/or methods are not mutually inconsistent, is included within the scope of the present disclosure.

Claims
I/We Claim:
1. A method for analysing the density of dolomite using X-ray radiation, comprising:
generating X-ray radiation and directing it towards a sample of dolomite;
detecting the X-ray radiation that passes through the sample;
calculating the density of the dolomite sample based on the detected X-ray radiation.

2. The method of claim 1, further comprising comparing the density of the dolomite sample to a predetermined standard or reference value to determine the quality or purity of the dolomite.

3. The method of claim 1 or 2, wherein the X-ray radiation has a wavelength between about 0.01 nm to 100 nm.

4. The method of any of the preceding claims, wherein the X-ray radiation is generated by an X-ray tube or synchrotron radiation.

5. The method of any of the preceding claims, wherein the dolomite sample is in the form of a powder or a solid block.

6. The method of any of the preceding claims, wherein the detection of X-ray radiation is performed using a detector selected from the group consisting of a scintillation detector, a solid state detector, and a gas detector.

7. A system for analyzing the density of dolomite using X-ray radiation, comprising:
an X-ray radiation source for generating X-ray radiation;
a sample holder for holding a sample of dolomite;
a detector for detecting the X-ray radiation that passes through the sample; and
a processor for calculating the density of the dolomite sample based on the detected X-ray radiation.

8. The system of claim 7, further comprising a display for displaying the calculated density of the dolomite sample.

9. The system of claim 7, wherein the X-ray radiation source is an X-ray tube or synchrotron radiation.

METHOD FOR DETERMINING OIL OR WATER AT GEOGRAPHIC LOCATION
Abstract
A data acquisition module for the purpose of gathering geophysical data of a subsurface formation may be included in embodiments of the current disclosure as part of a system for locating water or petroleum reservoirs in a subsurface formation. This system may contain other components as well. In some implementations, there may additionally be a processing module included, which is responsible for processing the geophysical data in order to produce a reservoir identification map. A display module that can show the reservoir identification map is another component that can be included in embodiments. , C , Claims:1. A system for identifying water or petroleum reservoir in a subsurface formation, comprising: a data acquisition module for obtaining geophysical data of the subsurface formation, a processing module for processing the geophysical data to generate a reservoir identification map, and a display module for displaying the reservoir identification map.
2. The system of claim 1, wherein the geophysical data is obtained using a seismic survey.
3. The system of claim 2, wherein the seismic survey uses one or more sources of seismic energy and one or more detectors to measure the response of the subsurface formation to the seismic energy.
4. The system of claim 1, wherein the processing module includes a data processing algorithm for analyzing the geophysical data and identifying areas of the subsurface formation that are likely to contain water or petroleum reservoir.
5. The system of claim 4, wherein the data processing algorithm includes one or more of amplitude analysis, frequency analysis, waveform analysis, and statistical analysis.
6. The system of claim 1, further comprising a data storage module for storing the geophysical data and the reservoir identification map.
7. The system of claim 1, wherein the display module includes a graphical user interface for displaying the reservoir identification map and allowing a user to interact with the map to explore and analyze the subsurface formation.
8. The system of claim 1, wherein the processing module is configured to generate a 3D model of the subsurface formation based on the geophysical data, and to display the reservoir identification map within the context of the 3D model.
9. The system of claim 1, further comprising a machine learning module for training a machine learning algorithm to identify water or petroleum reservoir based on the geophysical data, and for applying the machine learning algorithm to the geophysical data to generate the reservoir identification map.
10. A method for identifying water or petroleum reservoir in a subsurface formation, comprising obtaining geophysical data of the subsurface formation using a data acquisition module, processing the geophysical data using a processing module to generate a reservoir identification map, and displaying the reservoir identification map using a display module.