System and method for lateral statistical estimation of rock and fluid properties in a subsurface formation

A computer system, comprising:

• one or more physical computer processors;
• memory;
• and
• one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs including instructions that when executed by the one or more processors cause the system to:
• a. obtain, from non-transient electronic storage, a geophysical dataset and a geological data set representative of a subsurface volume of interest;
• b. obtain, from the non-transient electronic storage, a parameter model, the parameter model having been conditioned by training an initial parameter model using training data, wherein the geological dataset includes well data of one or more wells in the subsurface volume of interest and the training data includes the well data;
• c. pick, with the one or more physical computer processors, at least one surface in the geophysical dataset;
• d. assign stratigraphic meaning to the at least one surface based on the geological dataset;
• e. identify at least one region of interest on the at least one surface;
• f. generate, with the one or more physical computer processors, statistical seismic attributes for the at least one region;
• g. identify, with the one or more physical computer processors, critical attributes among the statistical seismic attributes by applying the parameter model to generate response variable maps for the at least one region;
• h. generate, with the one or more physical computer processors, uncertainty maps of the at least one region for each of the critical attributes and uncertainty maps for the response variables;
• and
• i. display, via the graphical user interface, the response variable maps and the uncertainty maps.

A non-transitory computer readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by an electronic device with one or more processors and memory, cause the device to:

• a. obtain, from non-transient electronic storage, a geophysical dataset and a geological dataset representative of a subsurface volume of interest;
• b. obtain, from the non-transient electronic storage, a parameter model, the parameter model having been conditioned by training an initial parameter model using training data, wherein the geological dataset includes well data of one or more wells in the subsurface volume of interest and the training data includes the well data;
• c. pick, with the one or more physical computer processors, at least one surface in the geophysical dataset;
• d. assign stratigraphic meaning to the at least one surface based on the geological dataset;
• e. identify at least one region of interest on the at least one surface;
• f. generate, with the one or more physical computer processors, statistical seismic attributes for the at least one region;
• g. identify, with the one or more physical computer processors, critical attributes among the statistical seismic attributes by applying the parameter model to generate response variable maps for the at least one region;
• h. generate, with the one or more physical computer processors, uncertainty maps of the at least one region for each of the critical attributes and uncertainty maps for the response variables;
• and
• i. display, via the graphical user interface, the response variable maps and the uncertainty maps.