EP-4062203-B1 - SYSTEMS AND METHODS FOR ASSOCIATING ONE OR MORE STANDARD NUMERICAL AGES TO ONE OR MORE ATTRIBUTES OF GEOLOGICAL DATA FROM DISPARATE LOCATIONS

EP4062203B1EP 4062203 B1EP4062203 B1EP 4062203B1EP-4062203-B1

Inventors

JOHNSON, Elizabeth, Anna Edwards
PEYSER, CHERYL
GARY, ANTHONY
FEBO, Lawrence, Andrew
HU, CHAOSHUN

Dates

Publication Date: 20260506
Application Date: 20201104

Claims (13)

A computer-implemented method (200) for associating a standard numerical age to an attribute of geological data from disparate locations, the computer-implemented method being implemented in a computer system (100) that includes a physical computer processor (122) and electronic storage (120), the computer-implemented method comprising: obtaining geological data, wherein the geological data comprises one or more dimensions, wherein the one or more dimensions comprise one or more geological attribute values, including at least one of the following: drilling data, electric logging data, well penetration data; obtaining local geotemporal markers corresponding to the geological data, wherein the local geotemporal markers assign relative ages to subsets of the geological data; obtaining a dimension to age function, wherein the dimension to age function generates a given global reference age based on a given dimension; using a correlation between the one or more dimensions and the local geotemporal markers, applying the dimension to age function to the geological data to attribute one or more global reference ages to the one or more local geotemporal markers, and generating (202) a standardized geological age dataset by standardizing the geological data to the one or more global reference ages based on the geological data, the local geotemporal markers, and the dimension to age function; storing (204) the standardized geological age dataset, the standardized geological age dataset comprising the dimension of the geological data assigned with the global reference ages and the local geotemporal markers assigned with the global reference ages; characterized in that the method further comprises obtaining (206) parameters, wherein the parameters comprise one of a target geological attribute, a volume of interest, and a target global reference age; and generating (208) a refined geological dataset by refining the standardized geological age dataset based on the parameters.
The computer-implemented method of claim 1, wherein the computer system further includes a graphical user interface, and the computer-implemented method further comprises: generating (210) a first representation of an age slice using visual effects to depict at least a portion of the refined geological dataset; and displaying (212) the first representation.
The computer-implemented method of claim 2, further comprising: generating a second representation of an age window using visual effects to depict at least a portion of the global reference ages and at least a portion of the local geotemporal markers; and displaying the second representation.
The computer-implemented method of claim 2 or 3, wherein the target geological attribute comprises one of an isopach, paleobathymetry, paleotopography, lithology, facies, pressure, paleo-pressure, temperature, paleo-temperature, vitrinite reflectance, density, paleo-environment, mineralogy, bio-abundances, biofacies, biozones, bioclusters, geomechanical, geochemical, magnetization, conductivity, velocity, geochronological, thermochronological, radiometric, petrophysical, porosity, permeability, fluid composition, production data, drilling data, electric logging data, well penetration, ownership, and rights.
The computer-implemented method of any of the preceding claims, wherein the dimension to age function is generated by: obtaining a chronostratigraphic dataset, wherein the chronostratigraphic dataset comprises multiple local geotemporal markers and corresponding global reference ages; matching the multiple local geotemporal markers of the chronostratigraphic dataset to the geological data to generate dimension to age data, wherein the dimension to age data comprises global reference ages and corresponding dimensions; generating the dimension to age function by interpolating the dimension to age data; and storing the dimension to age function.
The computer-implemented method of any of the preceding claims, wherein the geological data comprises the one or more dimensions and the local geotemporal markers.
The computer-implemented method of any of the preceding claims, wherein the global reference ages are common to disparate volumes of interest.
A computer-implemented method (200) for associating a standard numerical age to an attribute of geological data from disparate locations, the computer-implemented method being implemented in a computer system (100) that includes a physical computer processor (122) and electronic storage (120), the computer-implemented method comprising: obtaining geological data, wherein the geological data comprises one or more dimensions, wherein the one or more dimensions comprise one or more geological attribute values, including at least one of the following: drilling data, electric logging data, well penetration data; obtaining local geotemporal markers corresponding to the geological data, wherein the local geotemporal markers assign relative ages to subsets of the geological data; obtaining a dimension to age function, wherein the dimension to age function generates a given global reference age based on a given dimension; using a correlation between the one or more dimensions and the local geotemporal markers, applying the dimension to age function to the geological data to attribute one or more global reference ages to the one or more local geotemporal markers, and generating (202) a standardized geological age dataset by standardizing the geological data to the one or more global reference ages based on the geological data, the local geotemporal markers, and the dimension to age function; characterized in that the method further comprises obtaining (206) parameters, wherein the parameters comprise one of a target geological attribute, a volume of interest, and target global reference ages; generating (208) a refined geological dataset by refining the standardized geological age dataset based on the parameters; generating (210) a first representation of an age slice using visual effects to depict at least a portion of the refined geological dataset; and displaying (212) the first representation.
The computer-implemented method of claim 8, further comprising: generating a second representation of an age window using visual effects to depict at least a portion of the global reference ages and at least a portion of the local geotemporal markers; and displaying the second representation.
The computer-implemented method of claim 8 or 9, wherein the target geological attribute comprises one of an isopach, paleobathymetry, paleotopography, lithology, facies, pressure, paleo-pressure, temperature, paleo-temperature, vitrinite reflectance, density, paleo-environment, mineralogy, bio-abundances, biofacies, biozones, bioclusters, geomechanical, geochemical, magnetization, conductivity, velocity, geochronological, thermochronological, radiometric, petrophysical, porosity, permeability, fluid composition, production data, drilling data, electric logging data, well penetration, ownership, and rights.
The computer-implemented method of any of claims 8 to 10, wherein the dimension to age function is generated by: obtaining a chronostratigraphic dataset, wherein the chronostratigraphic dataset comprises multiple local geotemporal markers and corresponding global reference ages; matching the multiple local geotemporal markers of the chronostratigraphic dataset to the geological data to generate dimension to age data, wherein the dimension to age data comprises global reference ages and corresponding dimensions; generating a dimension to age function based on the dimension to age data; and storing the dimension to age function.
The computer-implemented method of any of claims 8 to 11, wherein the geological data comprises the one or more dimensions and the local geotemporal markers.
A system (100) for associating a standard numerical age to an attribute of geological data from disparate locations, the system (100) comprising: electronic storage (120); and a physical computer processor (122) configured by machine readable instruction to carry out the computer-implemented method of any of the preceding claims.

Description

FIELD OF THE DISCLOSURE The present disclosure relates to systems and methods for associating standard numerical ages to attributes of geological data from disparate locations. Reference may be made to US 2013/298065 A1, which relates to representing geological objects specified through time in a spatial geology modeling framework. Reference may be made to US 2019/197200 A9, which relates to a chronostratigraphic modeling and mapping system and method. Reference may be made to Keating A. et al, "The impact of Mars geological evolution in high energy ionizing radiation environment through time", Planetary And Space Science, vol. 72, no. 1. SUMMARY Implementations of the present disclosure are directed to systems and methods for associating one or more standard numerical ages to one or more attributes of geological data from disparate locations. A computer-implemented method according to an aspect of the present invention is defined by claim 1. In implementations, the computer system may further include a graphical user interface. The computer-implemented method may further include generating a first representation of an age slice using visual effects to depict at least a portion of the refined geological dataset. The computer-implemented method may further include displaying the first representation. In implementations, the computer-implemented method may further include generating a second representation of an age window using visual effects to depict at least a portion of the one or more global reference ages and at least a portion of the corresponding local geotemporal marker. The computer-implemented method may also include displaying the second representation. In implementations, the target geological attribute may further include one or more of an isopach, paleobathymetry, paleotopography, lithology, facies, pressure, paleo-pressure, temperature, paleo-temperature, vitrinite reflectance, density, paleo-environment, mineralogy, bio-abundances, biofacies, biozones, bioclusters, geomechanical, geochemical, magnetization, conductivity, velocity, geochronological, thermochronological, radiometric, petrophysical, porosity, permeability, fluid composition, production data, ownership, and rights. In implementations, the dimension to age function may be generated. One of the operations may include obtaining a chronostratigraphic dataset. The chronostratigraphic dataset may include multiple local geotemporal markers and corresponding global reference ages. Yet another operation may include matching the multiple local geotemporal markers of the chronostratigraphic dataset to the geological data to generate dimension to age data. The dimension to age data may include global reference ages and corresponding dimensions. One operation may include generating a dimension to age function by interpolating the dimension to age data. Yet another operation may include storing the dimension to age function. In implementations, the geological data may include the dimension and the corresponding local geotemporal marker. In implementations, the one or more global reference ages may be common to disparate volumes of interest. A computer-implemented method according to another aspect of the present invention is defined by claim 8. In implementations, a computer-implemented method may further include generating a second representation of an age window using visual effects to depict at least a portion of the one or more global reference ages and at least a portion of the corresponding local geotemporal marker. The computer-implemented method may also include displaying the second representation. In implementations, the target geological attribute may further include one or more of an isopach, paleobathymetry, paleotopography, lithology, facies, pressure, paleo-pressure, temperature, paleo-temperature, vitrinite reflectance, density, paleo-environment, mineralogy, bio-abundances, biofacies, biozones, bioclusters, geomechanical, geochemical, magnetization, conductivity, velocity, geochronological, thermochronological, radiometric, petrophysical, porosity, permeability, fluid composition, production data, ownership, and rights. In implementations, the dimension to age function may be generated by performing one or more operations. One operation may include obtaining a chronostratigraphic dataset. The chronostratigraphic dataset may include multiple local geotemporal markers and corresponding global reference ages. Another operation may include matching the multiple local geotemporal markers of the chronostratigraphic dataset to the geological data to generate dimension to age data. The dimension to age data may include global reference ages and corresponding dimensions. One operation may include generating a dimension to age function based on the dimension to age data. Yet another operation may include storing the dimension to age function. In implementations, the geological data may include the dimension and the corresponding local