... instabilities to ultimate fracture prediction, like data processing and NDE calculation. On this basis, a new workflow is established on a wavefield separation that aims to elevate waveform quality by suppressing undesired noises and reflections. Then NDE calculation is reformulated as an inversion problem...

... Ultrasonic measurements on rock samples are widely used for calibration of rock properties estimated from sonic log as well as surface and borehole seismic data. Analysis of these measurements involves picking traveltimes of P and S waves from waveforms recorded by ultrasonic transducers...

... The attenuation factor (Q) is essential in waveform inversion. This paper presents systematic and quantitative studies of Q on seismic waveforms of different frequencies in waveform inversion. The elastic waveform inversion (without Q update) of data with different Q values results in a slower...

... time. Firstly, we use synthetic waveforms from thousands of finite difference simulations as initial training dataset to train a deep-learning network which is modified from a network in speech separation. Then the trained model is used to predict the field data through an active learning strategy...

... to the reservoir characteristics in the study area, this paper described the distribution of high-quality reservoirs by using seismic waveform indication inversion technology and comprehensive evaluation technology based on proportional compression fusion. Combined with the actual drilling data, the inversion...

... in the interface auto-picking module. Finally, the coordinate transformation module maps arrival times on the array waveforms in the time-depth profile at each measurement azimuth. The proposed processing flow works well for the dataset from numerical simulations and a calibration well and the feature of cement...

... Heterogeneous elastic property variation in the rock formation surrounding a borehole can cause wave scattering in the borehole acoustic waveforms, which in turn can be used to characterize the formation heterogeneities. Considering the elastic wave scattering caused by the variation of the near...

... by insufficient quantity of Q -value survey, a number of Q -value survey points of low-velocity layer with different thickness are evenly and continuously arranged on the sand dune to increase the number of survey points, and the negative wave of first break is intercepted to synthesize a new waveform to reduce...

... by tomography about borehole geology. well logging applied geoscience artificial intelligence variation log analysis upstream oil & gas geophysics exploration geophysicist 10 nonstationary interferometry approach interferometry method waveform deconvolution interferometry interferometry...

... We present an application of Full-waveform Tomography (FWT) on a 2-D deep seismic profiling dataset to characterize the shallow crustal structures of the TanLu Fault Zone (TLFZ) acting as the tectonic boundary between the South and North China Plates. The raw data preprocessing workflow...

...LWD monopole processing with an adaptive tool-borne wave predictor Ruijia Wang* and Jiajun Zhao, Halliburton Summary waveforms to predict and remove the tool-borne waves. However, such a common-offset-gather-based approach is Borehole sonic measurements play an essential role in a sensitive...

... cable das fiber reservoir characterization applied geoscience wavefield energy flux acquisition waveform das data microseismic monitoring time imaging sensor event location rti Reverse time imaging of DAS microseismic data Zhenhua Li , Fire y Imaging, and Mirko van der Baan, University...

... point labeled data exploration geophysicist 10 perturbation waveform ssl horizon identification yellow arrow horizon point vat Seismic horizon identi cation using semi-supervised learning with virtual adversarial training Fu Wang Xinming Wu , and Huazhong Wang , Tongji University...

... It is very challenging to accurately invert for moment tensors of microseismic events recorded using a single-borehole geophone array. Full-waveform moment-tensor inversion uses the phase and amplitude of microseismic waveforms to invert for the moment tensor of a microseismic event...

... scholars have proposed wave clustering methods. Among them, for waveform classification, the existing method usually uses equal-thickness time windows to select the target layer for waveform clustering analysis. For areas where the thickness of the reservoir varies greatly in vertical and horizontal...

... Model error is endemic to full waveform inversion (FWI). Bayesian moment tensor inversion is an example of a linear inverse problem that can be heavily affected by errors in the velocity model. The choice of misfit function plays a crucial role in mitigating the effects of these errors. We...

...Multi-scale parallel simulation of arbitrary waveforms for time-domain electromagnetic data Ming Cheng* and Dikun Yang, Department of Earth and Space Sciences, Southern University of Science and Technology Summary channels concurrently, provided the matrix exponential expression is calculated (Zhou...

... A matched filter is developed and applied to sonic waveforms acquired by a slim dipole tool for extracting event signals while attenuating mode waves for shear-wave sonic imaging. Sonic imaging uses waveforms acquired by a sonic logging tool in a fluid-filled borehole. The event signals...

... is verified through the comparison of ground force and seismic data between AHS and conventional low-dwell sweep. reservoir characterization signal-to-noise ratio low frequency bandwidth field experiment seismic data low-dwell sweep ground force applied geoscience waveform harmonic distortion...

... monitoring production control hydraulic fracturing production logging near-field signal reservoir characterization artificial intelligence s-wave arrival applied geoscience geophysics nf event fiber-optic cable mechanism exploration geophysicist 10 waveform radiation pattern das amplitude p...