Provided are apparatus and methods for generating a representation of a physical environment, comprising: a mobile sensor platform (MSP) including sensors that output sensor signals relating to parameters such as range, gravity, direction of the Earth's magnetic field, and angular velocity. The MSP is adapted to be moved through the environment. The sensor signals are processed and observations of axes in the environment are generated for a sequence of time steps, the orientation of the MSP is estimated for each of the time steps, observed axes are identified at each orientation, and similar axes are associated. The orientations, the axes in the environment, and the directions of gravity and the Earth's magnetic field are linked such that each observation is predicted based on the estimates of the orientations. An estimate of the orientations is optimized and an output of the representation of the physical environment is generated based on the optimized orientation estimates. The output may be an axis map, a visual representation, and/or a data set. In one embodiment the output device may produce an output comprising a stereonet.

A learning apparatus (10) according to the present invention includes: a normalization/standardization unit (13) that performs normalization or standardization on data detected by a plurality of types of sensors; and a learning unit (14) that builds a model by performing machine learning, using, as training data, the detected data on which normalization or standardization has been performed by the normalization/standardization unit (13). The normalization/standardization unit (13) performs normalization or standardization for each type of sensor, on the data detected by the sensor.

A learning apparatus (10) according to the present invention includes: a normalization/standardization unit (13) that performs normalization or standardization on data detected by a plurality of types of sensors; and a learning unit (14) that builds a model by performing machine learning, using, as training data, the detected data on which normalization or standardization has been performed by the normalization/standardization unit (13). The normalization/standardization unit (13) performs normalization or standardization for each type of sensor, on the data detected by the sensor.

Methods and systems of the present disclosure integrate time-lapse gravimetric data with dynamic reservoir modeling, whereby petrophysical constraints are applied to the inversion of the gravimetric data to constrain the resulting dynamic reservoir simulations.

Methods and systems of the present disclosure integrate time-lapse gravimetric data with dynamic reservoir modeling, whereby petrophysical constraints are applied to the inversion of the gravimetric data to constrain the resulting dynamic reservoir simulations.

A method and a system implementing the method, are disclosed for computing magnetic interferences in measurement while drilling operations, using the retrieved lateral, and axial magnetic interferences of the measurement while drilling downhole tool system. With the disclosed method and system of implementing the method, it can be determined whether the source of the magnetic interference is from the measurement while drilling downhole tool system lateral direction or its axial direction. When magnetic field strength is abnormal, the lateral and axial magnetic interferences are monitored, and then compared against their values before the abnormal magnetic field strength. This way the direction of the magnetic interference is analyzed to eliminate or judge the cause of the interference, and properly guide the measurement while drilling downhole tool system towards its reservoir or well location.

A method and a system implementing the method, are disclosed for computing magnetic interferences in measurement while drilling operations, using the retrieved lateral, and axial magnetic interferences of the measurement while drilling downhole tool system. With the disclosed method and system of implementing the method, it can be determined whether the source of the magnetic interference is from the measurement while drilling downhole tool system lateral direction or its axial direction. When magnetic field strength is abnormal, the lateral and axial magnetic interferences are monitored, and then compared against their values before the abnormal magnetic field strength. This way the direction of the magnetic interference is analyzed to eliminate or judge the cause of the interference, and properly guide the measurement while drilling downhole tool system towards its reservoir or well location.

The present invention discloses a flexible display device and an intelligent protecting method thereof and a computer readable storage medium. The present invention, when detecting that the flexible display device is in an intelligent protective mode, obtains gravity detection data, and determines whether the flexible display device fulfills an intelligent protective condition. When the intelligent protective condition is fulfilled, a first structural member and a second structural member of the flexible display device are controlled to pivot at a predetermined angular velocity relative to a pivot shaft such that an included angle between flexible display screen lamination structures is less than 180 degrees.

The present invention discloses a flexible display device and an intelligent protecting method thereof and a computer readable storage medium. The present invention, when detecting that the flexible display device is in an intelligent protective mode, obtains gravity detection data, and determines whether the flexible display device fulfills an intelligent protective condition. When the intelligent protective condition is fulfilled, a first structural member and a second structural member of the flexible display device are controlled to pivot at a predetermined angular velocity relative to a pivot shaft such that an included angle between flexible display screen lamination structures is less than 180 degrees.

A method to estimate a depth profile of a weathering layer in a subterranean formation of a field is disclosed. The method includes obtaining gravity survey data of the field, generating an equivalent source density profile based on the gravity survey data, wherein the equivalent source density profile describes a set of equivalent gravitational sources to substitute rock layers of the subterranean formation, generating an equivalent source gravity response based on the equivalent source density profile, wherein the equivalent source gravity response excludes a gravity contribution from the weathering layer, calculating a separated weathering layer gravity response based on a difference between the gravity survey data and the equivalent source gravity response, wherein the separated weathering layer gravity response corresponds to the gravity contribution from the weathering layer, and generating a modeled weathering layer depth profile based on the separated weathering layer gravity response.