A method for generating a well completion plan includes: evaluating a plurality of different well completion plans using a reservoir simulator to calculate dynamic flows of fluid through a subsurface formation, each well completion plan having a flow control device with location and associated flow setting or rating, and optionally a packer and location to provide output data for each well completion plan evaluation; developing a surrogate reservoir model using the output data and input data for each well completion plan evaluation; using intelligent sequential sampling of the output and input data for each well completion plan evaluation to provide intelligent sequential sampling data in response to the surrogate reservoir model not meeting a validation criterion; updating the surrogate reservoir model using the intelligent sequential sampling data; and iterating the using and the updating using a latest surrogate reservoir model until the latest surrogate reservoir model meets the validation criterion.

A tunnel boring robot includes a tunnel boring machine, a sensing unit, an intelligent decision unit, and a controller unit. The sensing unit, the intelligent decision unit and the controller unit are disposed at the tunnel boring machine. The sensing unit is configured to sense, in real time, boring operation data of a current cycle during which the tunnel boring machine is working according to set boring parameter information. The intelligent decision unit is configured to receive the boring operation data sent by the sensing unit, and generate the set boring parameter information for a next cycle according to a preset prediction algorithm, the boring operation data and a desired boring effect. The controller unit is configured to receive the set boring parameter information, and control the tunnel boring machine to perform a boring operation for the next cycle according to the set boring parameter information.

In accordance with embodiments of the present disclosure, a simplified geomechanical model that considers the anisotropic (e.g., directional) properties of a formation and the presence of natural fractures in the formation is provided. A system and method may be designed according to the present disclosure to create a simplified geomechanical model of a horizontally laminated formation that includes pre-existing natural fractures. The simplified geomechanical model can be used to calculate the fracture closure pressure of the formation and to design a fracturing operation for injecting fracture fluid into the formation, thus improving the efficiency of a subterranean operation. The disclosed model may provide a more realistic model for fractured shales than an isotropic or vertically transverse isotropic (VTI) model. In addition, the disclosed model may be simpler to implement than a full orthorhombic model.

A method may include collecting measurement data using a first operational sensor and a second operational sensor of a downhole tool, standardizing optical responses of each operational sensor to a master sensor in a tool parameter space to obtain a standardized master sensor response, transforming the standardized master sensor response to a synthetic parameter space response of the master sensor, applying a fluid model with the synthetic parameter space response of the master sensor to predict a fluid characteristic, comparing a first prediction obtained with the fluid model from the first operational sensor with a second prediction obtained with the fluid model from the second operational sensor, determining a fluid characteristic from the first prediction and the second prediction, and optimizing a well testing and sampling operation according to the fluid characteristic.

Hydrocarbons are exploited within a sedimentary basin using a stratigraphic simulation coupled with a hydrologic model and a terrestrial organic matter accumulation model. The inorganic sediment distribution within the basin is determined with a stratigraphic simulator for at least one time step. Then, at least one unsaturated zone is delimited within the basin using a hydrologic model. At least one zone of terrestrial organic matter accumulation within the basin and an amount of terrestrial organic matter accumulated in this accumulation zone are determined by a model of the terrestrial organic matter accumulation as a function of the unsaturated zone thickness, of the unsaturated zone thickness stability and of the surface water flux defined for the time step considered.

The present disclosure is directed to numerically estimating the shear modulus of Kerogen by using a combination of mineralogy from digital image analysis and sonic log analysis, when measured data on only one elastic constant (Bulk, Young's or P-wave modulus) is available. In some instances, elastic properties predicted from the digital images are compared with sonic, shear, and density logs, to estimate the shear modulus of kerogen. As a one-to-one correspondence is not expected between the core sub-samples and the rock unit sampled by the well logs, cross-property relations can be used to identify the suitability of the effective medium models and to iteratively determine the shear modulus of kerogen.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, to generate generating geo-cellular models with improved lacunae. In one aspect, a method includes receiving a seismic dataset of a surveyed subsurface, and the seismic dataset includes seismic porosities in depth of the surveyed subsurface. Seismic porosities resampled into a three dimensional (3D) geological fine layer model grid. Seismic porosities at well locations are extracted using the 3D geological fine layer model grid. Log porosities and the seismic porosities are upscaled into coarse layers, and the coarse layers are identical for all the well locations. Match factors are determined based on differences between the upscaled log porosities and the downscaled seismic porosities. Co-krig the log porosities are correlated with the 3D geological fine layer model grid using the match factors as a soft constraint to produce a final 3D model.

A database for mapping off-road terrain of various characteristics in three-dimensional terms, comprising: a plurality of road segment entries, each containing data pertaining to the terrain characteristics of the segment; and a plurality of elbow entries, each containing (x, y, z) coordinates of the elbow and a record for each road segment having the elbow as one of its end points, the record comprising navigation directives for vehicles entering the segment from the elbow.

Described herein are various embodiments of computer-implemented methods, computing systems, and program products for analyzing a flood operation on a hydrocarbon reservoir. An embodiment of a computer implemented method of identifying conformance candidates is provided. The embodiment includes, for a first entity: solving an injection entity index to generate an injection entity index value, solving a production entity index to generate a production entity index value, evaluating an operation entity index that represents operation status to generate an operation entity index value, and combining the injection entity index value, the production entity index value, and the operation entity index value to generate a conformance problem index value for the first entity.

In some embodiments, an apparatus and a system, as well as a method and an article, may operate to access rock property measurements taken within shale basins; to transform the rock property measurements into Estimated Ultimate Recovery (EUR) estimates for wells operating within the shale basins, the EUR estimates being further based on values for shale thickness, porosity, and hydrocarbon saturation measured within the shale basins; to generate metrics for ranking drilling locations, the drilling locations including wells for which the EUR estimates were generated; and to provide drilling coordinates to control a drilling instrument for recovering shale basin resources in the drilling locations according to the ranked list. Additional apparatus, systems, and methods are disclosed.