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.

A gravity inversion method and system based on a meshfree method. The method includes: selecting an appropriate method of constructing an approximate function, and forming a hybrid radial basis function; using an appropriate evaluation method to select suitable parameters of the hybrid radial basis function; selecting a construction form of an equation; and weighting a distance norm of the hybrid radial basis function on the basis of the tendency and morphology of an ore body in the prior information; loading known underground density information and constructing an equation set; solving the equation set, and using a coefficient matrix created with an acquired coefficient vector in combination with a global background grid to obtain a global estimated density distribution; loading observation data and performing inversion by using a preconditioned conjugate gradient method (PCGM) with the estimated density distribution as a constraint; and obtaining an underground density distribution and completing the inversion.

A gravity inversion method and system based on a meshfree method. The method includes: selecting an appropriate method of constructing an approximate function, and forming a hybrid radial basis function; using an appropriate evaluation method to select suitable parameters of the hybrid radial basis function; selecting a construction form of an equation; and weighting a distance norm of the hybrid radial basis function on the basis of the tendency and morphology of an ore body in the prior information; loading known underground density information and constructing an equation set; solving the equation set, and using a coefficient matrix created with an acquired coefficient vector in combination with a global background grid to obtain a global estimated density distribution; loading observation data and performing inversion by using a preconditioned conjugate gradient method (PCGM) with the estimated density distribution as a constraint; and obtaining an underground density distribution and completing the inversion.

A gravity inversion method and system based on a meshfree method. The method includes: selecting an appropriate method of constructing an approximate function, and forming a hybrid radial basis function; using an appropriate evaluation method to select suitable parameters of the hybrid radial basis function; selecting a construction form of an equation; and weighting a distance norm of the hybrid radial basis function on the basis of the tendency and morphology of an ore body in the prior information; loading known underground density information and constructing an equation set; solving the equation set, and using a coefficient matrix created with an acquired coefficient vector in combination with a global background grid to obtain a global estimated density distribution; loading observation data and performing inversion by using a preconditioned conjugate gradient method (PCGM) with the estimated density distribution as a constraint; and obtaining an underground density distribution and completing the inversion.

A gravity inversion method and system based on a meshfree method. The method includes: selecting an appropriate method of constructing an approximate function, and forming a hybrid radial basis function; using an appropriate evaluation method to select suitable parameters of the hybrid radial basis function; selecting a construction form of an equation; and weighting a distance norm of the hybrid radial basis function on the basis of the tendency and morphology of an ore body in the prior information; loading known underground density information and constructing an equation set; solving the equation set, and using a coefficient matrix created with an acquired coefficient vector in combination with a global background grid to obtain a global estimated density distribution; loading observation data and performing inversion by using a preconditioned conjugate gradient method (PCGM) with the estimated density distribution as a constraint; and obtaining an underground density distribution and completing the inversion.

Disclosed are method and apparatus for obtaining residual gravity anomaly. The method comprises obtaining Bouguer gravity anomaly of a target region, determining a first pre-set range corresponding to each sampling point in the target region, obtaining a first regional field value of each sampling point in the first pre-set range through a surface fitting method based on the coordinate and field value of the sampling point, traversing the target region to obtain first regional gravity anomaly of the target region according to the first regional field values of the sampling points in the target region, and obtaining first residual gravity anomaly of the target region according to the Bouguer gravity anomaly and the first regional gravity anomaly. The residual gravity anomaly thus obtained is more accurate, thus enabling an accurate prediction of an underground geological body.

A post-compensation method for motion errors of a rotating accelerometer gravity gradiometer includes the steps of: during moving-base gravity gradient exploration, recording angular and linear motions of a gravity gradiometer; after the exploration, removing angular and linear motion errors from output data of the gravity gradiometer based on an analytical model of the rotating accelerometer gravity gradiometer; while ensuring that the precision of the gravity gradiometer is unchanged, the post-compensation method for the motion errors may be applied to greatly reduce the requirements of the gravity gradiometer for the precision of an online error compensation system, thereby simplifying the circuit design and mechanical design of the rotary accelerometer gravity gradiometer, and making the rotating accelerometer gravity gradiometer simpler and cheaper.

A post-compensation method for motion errors of a rotating accelerometer gravity gradiometer includes the steps of: during moving-base gravity gradient exploration, recording angular and linear motions of a gravity gradiometer; after the exploration, removing angular and linear motion errors from output data of the gravity gradiometer based on an analytical model of the rotating accelerometer gravity gradiometer; while ensuring that the precision of the gravity gradiometer is unchanged, the post-compensation method for the motion errors may be applied to greatly reduce the requirements of the gravity gradiometer for the precision of an online error compensation system, thereby simplifying the circuit design and mechanical design of the rotary accelerometer gravity gradiometer, and making the rotating accelerometer gravity gradiometer simpler and cheaper.

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.