Predicting seismic velocity distribution in the ground ahead of tunnel face using drilling vibration of hydraulic rock drill

2019 ◽  
pp. 691-696
Author(s):  
K. Tsukamoto ◽  
M. Shinji
Geophysics ◽  
2021 ◽  
pp. 1-60
Author(s):  
Yuxiao Ren ◽  
Bin Liu ◽  
Senlin Yang ◽  
Duo Li ◽  
Peng Jiang

Seismic forward-prospecting is essential because it can identify the velocity distribution in front of the tunnel face and provide guidance for safe excavation activities. We propose a convolutional neural network (CNN)-based method to invert forward-prospecting data recorded in tunnels for accurate and rapid estimation of seismic velocity distribution. Targeting the unusual seismic acquisition setup in tunnels, we design two separate encoders to extract features from observation data recorded on both tunnel sidewalls. Subsequently, these features are concatenated to a decoder for velocity prediction. Considering the various acquisition setups used in different tunneling projects, the deep learning inversion network must be flexible in terms of the seismic source/receiver positions for practical application. We generate two auxiliary feature maps that can be used to feed acquisition information to the proposed network. The proposed network, acquisition adaptive CNN ( A2-CNN) can be trained by defining the loss function based on the L2-norm and multiscale structural similarity (MSSIM). Compared with traditional CNNs, the proposed method shows superior performance on datasets with both fixed and random acquisition setups, and also demonstrates certain robustness when handling synthetic data with field noise. Finally, we test how the network performs when feeding the modified acquisition setup information. It turns out that the inversion result will demonstrate a shift when the provided acquisition setup information shift, which verified the validity of the network and its utilization of acquisition information.


1975 ◽  
Vol 15 (03) ◽  
pp. 234-246
Author(s):  
L.Z. Shuck ◽  
K-H Frohne ◽  
G.E. Rennick ◽  
D.M. Evans

Abstract Experimental conditions, theoretical considerations, and results of adirectional acoustic-velocity survey in the plane of formation of an oilreservoir in Pennsylvania are given. More than 60 blasting-cap acoustic sourceswere discharged opposite the Bradford Third sand in 10 different wells locatedwithin a 1,200- by 1,350-ft rectangular array of 41 wells. Each source wasmonitored simultaneously by 11 different hydrophones strategically locatedwithin the 41-well array. Both acoustic sources and sensors were located at theformation elevation, about 2,000 ft below the surface, so that the in-situvelocities determined were in the plane of the sandstone formation. Well-to-well acoustic velocities were calculated and are presented in tabularand graphical form. The velocity data were further analyzed statistically toyield over-all reservoir velocity trends. Results of the study show that thereservoir is acoustically heterogeneous, with local variations in P-wavevelocity of as much as 20 percent. The over-all P-wave velocity trend for thereservoir was greater in the east-west direction than in the north-southdirection by about 700 ft/sec. The mean acoustic velocity for all wells in alldirections was 15,621 ft/ sec. The acoustic-velocity distribution is also correlated to directionalpermeability data obtained by oriented core analyses. Introduction The directional variation of geophysical properties affecting wave propagationhas long been known. A brief examination of the history and evolutionaryprocesses of sedimentary rock should leave no doubt about the nature of theformations. However, little attention has been given to directional propertiesin the evaluation and recovery of natural resources. Evaluation of thedirectional acoustic (seismic) velocity distribution in reservoirs is perhapsthe most promising means of evaluating directional reservoir properties. Themagnitude of directional variation can be predicted to a degree by consideringthe lithology and the geological features of an area. However, there are alwaysuncertainties in the study of wave propagation through the earth; numerousvariables influencing wave-propagation velocities have been determined. This research was initiated originally to aid in acoustically mapping thegrowth of hydraulically induced fractures in time and space, and to assist indelineating existing fracture systems. The reservoir investigated had been thesubject of other research programs, and considerable information was available.Using the available information, however, large directional variations inacoustic velocities over small areas would not necessarily have beenanticipated. As will be shown, the velocity variations were substantial andwere correlatable, to a degree, with other geophysical and reservoirproperties. Since the late 1940's and early 1950's, a tremendous amount of work has beendone in active and passive seismic monitoring and in the general area of wavepropagation through geological materials. Most of the work falls into one offour general categories:active seismic exploration,passive earthquakeor nuclear undergroundexplosion monitoring,active oil and gas welllogging, androck noise and slope-stability studies. Obviously, eachcategory directly or indirectly involves the directional nature of propagationvelocities. The first two categories, and usually the fourth, are associatedwith very low frequency monitoring systems, such as geophones usually operatingin the 0- to 50-hz range. Frequencies used in Category 3 are usually in the20-khz range since the waves typically are transmitted only 3 ft verticallyfrom a transmitter to a receiver.


1985 ◽  
Vol 3 ◽  
Author(s):  
M. R. Pandey

ABSTRACT The apparent velocity distribution of the local seismic of lesser Himalaya of central and Eastern Nepal allows to derive a three layered local seismic velocity model with first layer velocity of 5.6 Km/Sec, second layer of 6.5 Km/sec. and Moho discontinuity with 8.1 Km/sec. The first arrivals of different local phases of seismic waves are consistent with 20-23 Km thickness of the first layer and with crustal thickness of 55Km. The seismic events are confined to the first layer. Local velocity model derived after the seismic event of 6 Oct 1981, origin time 19 hr 18 mn 17 sec, by modelling the first arrivals and PMP (Moho reflection) arrivals within the interval of distance 138-218 Km confirms the velocity model derived from apparent velocity distribution. However, apparent velocity distribution of local seismic events occurring south of the line joining approximately Pokhara to Udayapur in plan does not seem to fit the theoretical distribution corresponding to the above three layered model with events within first layer. The apparent velocity of these events may be explained either (a) by the confinement of the focus of the events to the second layer or, (b) by the variation of the seismic velocity model with Moho depth at 35- 40 Km. i.e. with a normal Indian peninsular crust thickness.


Sign in / Sign up

Export Citation Format

Share Document