System and method for predicting well site production
A device includes an image data receiving processor, a well site data receiving processor, a zonal statistics processor and a vent flare calculator. The image data receiving processor receives image data of a geographic region around and including a well site. The well site data receiving processor receives well site location data of a location of the well site and generates well pad location data of a location of a well pad including the well site. The zonal statistics processor generates pixel data from the well pad location. The vent flare calculator calculates a volume of flared gas and based on the pixel data.
1. A device comprising:
an image data receiving processor having processor readable instructions therein so as to receive image data of a geographic region around and including a well site, the image data being a multi-spectrum image having information indicative of temperature;
a well site data receiving processor having processor readable instructions therein so as to receive well site location data of a location of the well site to analyze well site data to determine well pad location data of a location of a well pad including an area of observation extending beyond and around the well site;
a zonal statistics processor having processor readable instructions therein so as to receive the well pad location data of the well pad to determine pixel data of the well pad within the image data for a particular time from the well pad location data; and
a vent flare calculator having processor readable instructions therein so as to analyze the pixel data of the well pad with a flare volume to pixel data function for a particular time to determine a volume of flared gas based on the pixel data.
2. The device of claim 1 , further comprising a well production data receiving processor having readable instructions therein so as to receive well production data of the well site.
3. The device of claim 2 , further comprising a capture calculator having processor readable instructions therein so as to determine a crude production volume based on the determined volume of flared gas and the well production data of the well site.
4. The device of claim 3 , further comprising a multivariate regression processor having processor readable instructions therein so as to generate a crude volume function corresponding to the volume of crude oil as a function of time based on the well production data of a first time, the determined volume of flared gas at a second time and the determined crude production volume.
5. The device of claim 4 , wherein said multivariate regression processor has processor readable instructions therein so as to further generate a flared gas function corresponding to the volume of flared gas as a function of time based on the well production data of the first time, the determined volume of flared gas at the second time and the determined crude production volume.
6. The device of claim 3 , further comprising a multivariate regression processor having processor readable instructions therein so as to generate a flared gas function corresponding to the volume of flared gas as a function of time based on the well production data of the first time, the determined volume of flared gas at the second time and the determined crude production volume.
7. The device of claim 1 , wherein said image data receiving processor has processor readable instructions therein so as to receive image data as infrared image data of the geographic region.
8. A method comprising:
receiving, via an image data receiving processor, image data of a geographic region around and including a well site, the image data being a multi-spectrum image having information indicative of temperature;
receiving, via a well site data receiving processor, well site location data of a location of the well site;
generating, via the well site data receiving processor, well pad location data of a location of a well pad including an area of observation extending beyond and around the well site;
determining, via a zonal statistics processor, pixel data of the well pad from the image data for a particular time from the well pad location data; and
determining, via a vent flare calculator, a volume of flared gas based on the pixel data of the well pad with a flare volume to pixel data function to assist in predicting well site production.
9. The method of claim 8 , further comprising receiving, via a well production data receiving processor, well production data of the well site.
10. The method of claim 9 , further comprising determining, via a capture calculator, a crude production volume based on the determined volume of flared gas and the well production data of the well site.
11. The method of claim 10 , further comprising generating, via a multivariate regression processor, a crude volume function corresponding to the volume of crude oil as a function of time based on the well production data of the first time, the determined volume of flared gas at the second time and the determined crude production volume.
12. The method of claim 11 , further comprising generating, via the multivariate regression processor, a flared gas function corresponding to the volume of flared gas as a function of time based on the well production data of the first time, the determined volume of flared gas at the second time and the determined crude production volume.
13. The method of claim 10 , further comprising generating, via a multivariate regression processor, a flared gas function corresponding to the volume of flared gas as a function of time based on the well production data of the first time, the determined volume of flared gas at the second time and the determined crude production volume.
14. The method of claim 8 , wherein said receiving, via an image data receiving processor, image data of a geographic region around and including a well site comprises receiving the image data as infrared image data of the geographic region.