Energy deposit discovery system and method
An energy deposit determining system and method are provided that determines a productive lease or well. The system and method may be used for oil wells, gas wells, oil and gas explorations and/or mineral leases.
1. An apparatus for identifying one or more new locations for a well in an area having a plurality of existing wells, wherein each existing well has a set of geologic parameters associated with the well, the apparatus comprising:
a computer system having a processor and a display;
the processor configured to receive data about existing wells including one or more existing geologic wells and one or more existing production wells wherein each existing geologic well has one or more geologic parameters and each existing production well has a production measure, to interpolate the one or more geologic parameters of one or more of the existing geologic wells, wherein the one or more geologic parameters include one or more geologic parameters for each toe of each existing geologic well and one or more geologic parameters for each heel of each existing geologic well that are used to generate estimated geologic parameters for a new location in the area having a plurality of existing wells and selects a production measure for each of the one or more of the existing production wells, wherein the production measure is a combination of oil production and gas production for each existing production well;
the processor configured to generate a statistical model based on the production measures of the one or more of the existing wells, generate an estimated production for the new location in the area having the estimated geologic parameters based on the one or more estimated geologic parameters and generate a grade for each new location in the area based on the estimated production; and
the display displaying the grades for each new location in the area for the well.
2. The apparatus of claim 1 further comprising an energy deposit display unit, hosted on the computer system, that assigns a grade to each of the plurality of locations in the area and generates a user interface showing each of the plurality of locations in the area with the different grades.
3. The apparatus of claim 1 , wherein the processor is configured to generate a linear model using a linear regression with a b-spline.
4. The apparatus of claim 1 , wherein the processor is configured to generate a nonlinear model.
5. The apparatus of claim 1 , wherein the processor is configured to generate a linear model that uses as inputs geologic parameters that are estimated at the heel and toe and zero or more locations along the wellbore path.
6. The apparatus of claim 3 , wherein the processor is configured to choose a subset of existing wells to generate the linear model and select a predetermined number of regression terms for use in the linear regression.
7. The apparatus of claim 6 , wherein the predetermined number is thirty.
8. The apparatus of claim 1 , wherein the computer system is one of a personal computer, a desktop computer and a cloud computing resource.
9. The apparatus of claim 1 , wherein the energy deposit is one of oil, oil and gas, gas and minerals.
10. The apparatus of claim 1 , wherein the statistical model is a linear model.
11. A method for identifying one or more locations for a well in an area having a plurality of existing wells, wherein each well has a set of geologic parameters associated with the well, the method comprising:
receiving data about existing wells including one or more existing geologic wells and one or more existing production wells wherein each existing geologic well has one or more geologic parameters and each existing production well has a production measure;
interpolating, by a processor of a computer system, the one or more geologic parameters of one or more of the existing geologic wells, wherein the one or more geologic parameters include one or more geologic parameters for each toe of each existing geologic well and one or more geologic parameters for each heel of each existing geologic well that are used to generate estimated geologic parameters for a location in the area having a plurality of existing geologic wells;
selecting a production measure for each of the one or more of the existing production wells, wherein the production measure is a combination of oil production and gas production for each existing production well;
generating, by the processor of the computer system, a statistical model based on the production measures of the one or more of the existing wells at any of the locations for the well in the area;
generating an estimated production for the location in the area having the estimated geologic parameters based on the one or more estimated geologic parameters;
generating a grade for each new location in the area based on the estimated production; and
displaying the grades for each new location in the area for the well.
12. The method of claim 11 further comprising assigning a grade to each of the plurality of locations in the area and generating a user interface showing each of the plurality of locations in the area with the different grades.
13. The method of claim 11 , wherein generating the linear model further comprises using linear regression with a polynomial.
14. The method of claim 11 , wherein interpolating the one or more geologic parameters further comprises interpolating the one or more geologic parameters using a B-spline approximation.
15. The method of claim 11 , wherein generating the statistical model further comprises generating a nonlinear model.
16. The method of claim 11 , wherein generating the statistical model further comprises generating a linear model that uses as inputs geologic parameters that are estimated at the heel and toe and zero or more locations along the wellbore path.
17. The method of claim 13 , wherein generating the linear model further comprises choosing a subset of existing wells to generate the linear model and selecting a predetermined number of regression terms for use in the linear regression.
18. The method of claim 17 , wherein the predetermined number is thirty.
19. The method of claim 11 , wherein the energy deposit is one of oil, oil and gas, gas and minerals.
20. The method of claim 11 , wherein the statistical model in a linear model.
21. The apparatus of claim 1 , wherein the production measure is one of a combination of a maximum monthly oil production and a maximum monthly gas production for each existing well, a maximum monthly oil production for each existing well, a maximum monthly gas production for each existing well and a combination of a cumulative oil and gas produced to date for each existing well.
22. The method of claim 11 , wherein the production measure is one of a combination of a maximum monthly oil production and a maximum monthly gas production for each existing well, a maximum monthly oil production for each existing well, a maximum monthly gas production for each existing well and a combination of a cumulative oil and gas produced to date for each existing well.
23. The apparatus of claim 1 , wherein the processor configured to interpolate one or more geologic parameters generates a formation thickness.
24. The method of claim 11 , wherein interpolating the one or more geologic parameters further comprises generating a formation thickness based on the one or more geologic parameters.