Abstract: Embodiments of the present disclosure are directed towards systems and methods for automated stratigraphy interpretation from borehole images. Embodiments may include constructing, using at least one processor, a training set of synthetic images corresponding to a borehole, wherein the training set includes one or more of synthetic images, real images, and modified images. Embodiments may further include automatically classifying, using the at least one processor, the training set into one or more individual sedimentary geometries using one or machine learning techniques. Embodiments may also include automatically classifying, using the at least one processor, the training set into one or more priors for depositional environments.

Abstract: The present disclosure relates to a method comprising: receiving a resource model associated with a resource site and receiving one or more objective parameters, such that a first objective parameter comprised in the one or more objective parameters is a function of one or more parameter values of the resource model. The method comprises executing simulations to generate a first uncertainty value based on at least one of a first parameter value and a first uncertainty value of a first parameter of the resource model. The simulations may be executed to generate a first forecast uncertainty value for each scenario comprised in a plurality of scenarios. The method also identifies one service that minimizes an uncertainty value of the objective parameter based on the forecast uncertainty value. The method further includes generating a first visualization comprising the one identified service for viewing by a user via a user interface.

Abstract: The present disclosure relates to a system that is operable to receive an execution plan and execute a control operation on one or more equipment based operations within the execution plan. The one or more operations may include a data capturing operation associated with a resource site. In one embodiment, the system may be operable to execute at least a first operation in response to a success variable of the data capturing operation indicating a successful execution of the data capturing operation. The first operation may include a quality control operation that is executed by comparing at least one characteristic of the captured data to an expected characteristic to generate quality state data. The quality state data may have one of an acceptable status and an undesirable status. In response to the quality state data indicating an acceptable status for the quality control operation, executing at least a second operation.

Abstract: Embodiments of the present disclosure are directed towards systems and methods for automated stratigraphy interpretation from borehole images. Embodiments may include constructing, using at least one processor, a training set of synthetic images corresponding to a borehole, wherein the training set includes one or more of synthetic images, real images, and modified images. Embodiments may further include automatically classifying, using the at least one processor, the training set into one or more individual sedimentary geometries using one or machine learning techniques. Embodiments may also include automatically classifying, using the at least one processor, the training set into one or more priors for depositional environments.