Abstract: A method for determining distribution data for a disposal domain parameter to increase assurance in a cuttings injection process, including performing a fracturing simulation using a site specific datum to obtain a fracturing result, determining a probability of creating a new fracture using the fracturing result and a probability model, performing a plurality of fracturing simulations using the probability and a distribution associated with the probability to obtain disposal domain information, and extracting the distribution data for the disposal domain parameter from the disposal domain information.

Abstract: A system for simulating a wellbore used for cuttings re-injection, that includes functionality to obtain as input to the system at least one wellbore design parameter for the wellbore, at least one operating parameter for the cuttings re-injection, and a slurry design for a slurry to be injected into the wellbore, functionality to segment the wellbore into a plurality of elements, wherein each element includes a plurality of nodes, and functionality to perform a simulation at a current time interval. The functionality to perform the simulation includes functionality to update a solid accumulation at a bottom of the wellbore at the current time interval and functionality to perform for each of the plurality of nodes, until the wellbore reaches a steady-state condition for the current time interval, at least one calculation using the at least one wellbore design parameter, the at least one operating parameter, and/or the slurry design.

Abstract: A method for simulating cuttings re-injection in a wellbore, that includes defining a mass balance equation for a solids bed, defining a mass balance equation for a suspension solids, segmenting the wellbore into a plurality of elements, wherein each element includes a plurality of nodes, segmenting a simulation into a plurality of time intervals, and for each the plurality of time intervals: simulating cuttings re-injection by solving the mass balance equation for the solids bed and the mass balance equation for the suspension solids for each of the plurality of nodes.

Abstract: A system for simulating a wellbore used for cuttings re-injection, that includes functionality to obtain as input to the system at least one wellbore design parameter for the wellbore, at least one operating parameter for the cuttings re-injection, and a slurry design for a slurry to be injected into the wellbore, functionality to segment the wellbore into a plurality of elements, wherein each element includes a plurality of nodes, and functionality to perform a simulation at a current time interval. The functionality to perform the simulation includes functionality to update a solid accumulation at a bottom of the wellbore at the current time interval and functionality to perform for each of the plurality of nodes, until the wellbore reaches a steady-state condition for the current time interval, at least one calculation using the at least one wellbore design parameter, the at least one operating parameter, and/or the slurry design.

Abstract: A method for simulating cuttings re-injection in a wellbore, that includes defining a mass balance equation for a solids bed, defining a mass balance equation for a suspension solids, segmenting the wellbore into a plurality of elements, wherein each element includes a plurality of nodes, segmenting a simulation into a plurality of time intervals, and for each the plurality of time intervals: simulating cuttings re-injection by solving the mass balance equation for the solids bed and the mass balance equation for the suspension solids for each of the plurality of nodes.

Abstract: A method for determining distribution data for a disposal domain parameter to increase assurance in a cuttings injection process, including performing a fracturing simulation using a site specific datum to obtain a fracturing result, determining a probability of creating a new fracture using the fracturing result and a probability model, performing a plurality of fracturing simulations using the probability and a distribution associated with the probability to obtain disposal domain information, and extracting the distribution data for the disposal domain parameter from the disposal domain information.