What is FTG? Full Tensor Gradiometry (FTG) measures the rate of change of gravity in all directions of the field, caused by subsurface geology. It maps contact information generated by density contrasts resulting from stratigraphic and structural changes.

2024年1月1日 · With the development of instruments for measuring Earth's gravity gradient tensor, full tensor gravity (FTG) data can be obtained validly and accurately. The highly precise performance of FTG data ensures that they can play an important role in many domains.

FTG Meaning – Full Tensor Gravity Gradiometry is a way of measuring changes in the density of the subsurface caused by subsurface geology. It is used by natural resource and mineral prospectors to measure and map changes in the density of the subsurface.

Full Tensor Gravity Gradiometry (FTG) data is a measure of the different components of the gravity gradient tensor. Measuring these components gives us the ability to image the geology with greater confidence. Combinations of tensors can be used to highlight linear trends in the dataset, such as those relating to faults.

Bell Geospace provides Full Tensor Gravity (FTG) Gradiometry data and geological survey insights for oil & gas (O&G) and mining operators globally.

We present an algorithm for visualising FTG gravity datasets which displays local lateral orientations encoded in the FTG data. It uses a colour map to highlight geologically significant structures such as linear features and radially symmetric points by identifying different geological features and using colour components to represent ...

2007年6月1日 · In this paper, we study the hydrocarbon production processes through changes in the density of reservoir fluids. Our objective is to determine the feasibility of using ultrasensitive real-time FTG measurements for mapping relatively small (‘4-D’) density changes caused by changes in fluid or gas saturation during production.

2016年9月1日 · Our research demonstrates that this method for full tensor gravity gradiometry (FTG) data inversion is faster than other methods, because it can avoid large matrix multiplication. The original inversion equations can be replaced by the lower dimension to increase the speed of inversion and this process can retain a high degree of accuracy.

2013年5月16日 · This paper presents a semi-automatic method to interpret FTG data using an adaptive tilt angle approach. The present method uses only the three vertical tensor components of the FTG data (T zx, T zy and T zz) with a scale value that is related to the nature of the source (point anomaly or linear anomaly). With this adaptation, it is possible to ...

We evaluate our algorithm on synthetic FTG data where the depths of mass anomalies are known. A multi-scale approach is demonstrated to effectively locate the depths of mass anomalies in the presence of noise.