A method of designing an underground excavation may involve the steps of: Developing a plurality of input parameters for the underground excavation; performing a first design iteration to determine an initial ground support system design; evaluating a kinematic stability of the initial ground support system design; determining whether the kinematic stability meets a predetermined factor of safety; and reiterating the initial ground support system design until the kinematic stability meets the predetermined factor of safety.

An underwater sensor assembly includes a frame configured to sit on a bottom of a body of water and at least one first sensor connected to the frame. The at least one first sensor is configured to measure at least one parameter related to the body of water. A system for environmental monitoring includes the underwater sensor assembly, at least one buoy at a surface of the body of water, and at least one cable attached at a first end to the frame and attached at a second end opposite the first end to the at least one buoy. The at least one buoy comprises at least one second sensor configured to measure at least one parameter above the surface of the body of water.

A system configured to determine a property of a paving-related material is provided. The system includes a measuring device configured for measuring a property of a paving-related material and a cellular computer device configured for being in communication with and receiving data from the measuring device.

An inspection system to measure the condition of at least a wall of a ground opening, the inspection system having a head unit for lowering into a borehole during a data collection phase wherein at least one set of test data is collected concerning one or more physical characteristics of the borehole during the data collection phase, the head unit having an internal measurement system and a sensor arrangement with a plurality of sensors facing radially outwardly of a head axis that is generally parallel to at least a portion of a borehole axis, the plurality of sensors allowing the head unit to be moved during the data collection phase without rotation about the head axis, the plurality of sensors at least partially producing the at least one set of test data collected during the data collection phase.

An inspection system to measure the condition of at least a wall of a ground opening, the inspection system having a head unit for lowering into a borehole during a data collection phase wherein at least one set of test data is collected concerning one or more physical characteristics of the borehole during the data collection phase, the head unit having an internal measurement system and a sensor arrangement with a plurality of sensors facing radially outwardly of a head axis that is generally parallel to at least a portion of a borehole axis, the plurality of sensors allowing the head unit to be moved during the data collection phase without rotation about the head axis, the plurality of sensors at least partially producing the at least one set of test data collected during the data collection phase.

A method of constructing a geological model of a subterranean formation formed of at least two sedimentary beds is described. Based on measurements of the geometry of boundaries of beds of the subterranean formation carried out on a grid, values of geometry of each bed at any point of the grid are calculated according to at least the steps of defining a succession of coarser and coarser grids, constructed based on the grid of interest; proceeding from the coarsest grid to the grid of interest, determining the geometry of the boundaries of each bed by solving an inverse problem initialized with the result obtained for the previous coarser grid. Next, constructing the geological model based on the completed geometry of each boundary of beds on the grid of interest.

Embodiments of the present invention relate to a caliper and method for mapping the dimensions and topography of a formation such as the sidewall of a borehole. Examples of formations in which embodiments of the invention can be used include, but are not limited to, an oil, gas, pile borehole or barrette that has been drilled or excavated into the earth.

Embodiments of the present invention relate to a caliper and method for mapping the dimensions and topography of a formation such as the sidewall of a borehole. Examples of formations in which embodiments of the invention can be used include, but are not limited to, an oil, gas, pile borehole or barrette that has been drilled or excavated into the earth.

An N-value prediction apparatus according to an embodiment of the present invention includes a hypothetical learning data augmentation unit, based on an actual N-value measured at an actual location according to the Standard Penetration Test through drilling investigation, generating at least one of hypothetical N-values corresponding to a preset hypothetical point based on the actual location, an N-value prediction model learning unit learning ground characteristic data corresponding to each of the actual location and the hypothetical point by artificial intelligence, the ground characteristic data including the actual N-value and the hypothetical N-values, and an N-value prediction result calculation unit predicting an N-value at an arbitrary prediction target point by using an N-value prediction model generated by artificial intelligence learning executed in the N-value prediction model learning unit.

An N-value prediction apparatus according to an embodiment of the present invention includes a hypothetical learning data augmentation unit, based on an actual N-value measured at an actual location according to the Standard Penetration Test through drilling investigation, generating at least one of hypothetical N-values corresponding to a preset hypothetical point based on the actual location, an N-value prediction model learning unit learning ground characteristic data corresponding to each of the actual location and the hypothetical point by artificial intelligence, the ground characteristic data including the actual N-value and the hypothetical N-values, and an N-value prediction result calculation unit predicting an N-value at an arbitrary prediction target point by using an N-value prediction model generated by artificial intelligence learning executed in the N-value prediction model learning unit.