X039 Observations of Surface Vibrator Repeatability in a Desert Environment

Similar documents
Introduction. Field Test Description

The case for longer sweeps in vibrator acquisition Malcolm Lansley, Sercel, John Gibson, Forest Lin, Alexandre Egreteau and Julien Meunier, CGGVeritas

There is growing interest in the oil and gas industry to

Repeatability Measure for Broadband 4D Seismic

Investigating the low frequency content of seismic data with impedance Inversion

Tu A D Broadband Towed-Streamer Assessment, West Africa Deep Water Case Study

Using long sweep in land vibroseis acquisition

Surface-consistent phase corrections by stack-power maximization Peter Cary* and Nirupama Nagarajappa, Arcis Seismic Solutions, TGS

Th P6 01 Retrieval of the P- and S-velocity Structure of the Groningen Gas Reservoir Using Noise Interferometry

Downloaded 01/03/14 to Redistribution subject to SEG license or copyright; see Terms of Use at

Understanding Seismic Amplitudes

Tu N Higher Vibrator Hydraulic Force for Improved High Frequency Generation

Northing (km)

SPNA 2.3. SEG/Houston 2005 Annual Meeting 2177

Summary. Page SEG SEG Denver 2014 Annual Meeting

OPTIMIZING HIGH FREQUENCY VIBROSEIS DATA. Abstract

Variable-depth streamer acquisition: broadband data for imaging and inversion

Noise Reduction in VibroSeis Source Kaëlig Castor*, Thomas Bianchi, Olivier Winter, Thierry Klein, CGG

Tomostatic Waveform Tomography on Near-surface Refraction Data

SUMMARY INTRODUCTION MOTIVATION

Th-P08-11 Deblending of Single Source Vibroseis Land Data in Egypt with V1 Noise Attenuation Algorithm

Summary. Introduction

Seismic reflection method

Seismic Reflection Method

25823 Mind the Gap Broadband Seismic Helps To Fill the Low Frequency Deficiency

Geophysical Applications Seismic Reflection Surveying

Design of an Optimal High Pass Filter in Frequency Wave Number (F-K) Space for Suppressing Dispersive Ground Roll Noise from Onshore Seismic Data

Enhanced low frequency signal processing for sub-basalt imaging N. Woodburn*, A. Hardwick and T. Travis, TGS

Attenuation of high energy marine towed-streamer noise Nick Moldoveanu, WesternGeco

FINAL REPORT EL# RS. C. A. Hurich & MUN Seismic Team Earth Sciences Dept. Memorial University Sept. 2009

South Africa CO2 Seismic Program

attempt to understand if we can identify a relationship between fundamental mode propagation and the condition of the cement bonds.

ISSN Volume 28 Issue 6 June A New Spring for Geoscience. Special Topic

Th ELI1 08 Efficient Land Seismic Acquisition Sampling Using Rotational Data

Why not narrowband? Philip Fontana* and Mikhail Makhorin, Polarcus; Thomas Cheriyan and Lee Saxton, GX Technology

Survey results obtained in a complex geological environment with Midwater Stationary Cable Luc Haumonté*, Kietta; Weizhong Wang, Geotomo

Tu LHR1 07 MT Noise Suppression for Marine CSEM Data

Comparison of low-frequency data from co-located receivers using frequency dependent least-squares-subtraction scalars

Improvement of signal to noise ratio by Group Array Stack of single sensor data

Recording seismic reflections using rigidly interconnected geophones

MEMS-based accelerometers: expectations and practical achievements

Progress in DAS Seismic Methods

A robust x-t domain deghosting method for various source/receiver configurations Yilmaz, O., and Baysal, E., Paradigm Geophysical

INTRODUCTION TO ONSHORE SEISMIC ACQUISITION AND PROCESSING

The Hodogram as an AVO Attribute

Summary. Time only. Distance only. Simultaneous Methods. Distance and Time. Slip-Sweeps Dynamic Slip-Sweeps Unconstrained simultaneous sources

WS15-B02 4D Surface Wave Tomography Using Ambient Seismic Noise

Tu SRS3 07 Ultra-low Frequency Phase Assessment for Broadband Data

AVO compliant spectral balancing

3-D tomographic Q inversion for compensating frequency dependent attenuation and dispersion. Kefeng Xin* and Barry Hung, CGGVeritas

A Step Change in Seismic Imaging Using a Unique Ghost Free Source and Receiver System

Processing the Teal South 4C-4D seismic survey

AVO processing of walkaway VSP data at Ross Lake heavy oilfield, Saskatchewan

Looking deeper through Pre Amplifier gain A study

Analysis of PS-to-PP amplitude ratios for seismic reflector characterisation: method and application

Interferometric Approach to Complete Refraction Statics Solution

Seismic acquisition projects 2010

Recent fieldwork activities and analysis. Malcolm Bertram

Spatial variations in field data

Seismic processing workflow for supressing coherent noise while retaining low-frequency signal

EWGAE 2010 Vienna, 8th to 10th September

P34 Determination of 1-D Shear-Wave Velocity Profileusing the Refraction Microtremor Method

Interpretational applications of spectral decomposition in reservoir characterization

Presented on. Mehul Supawala Marine Energy Sources Product Champion, WesternGeco

WS01 B02 The Impact of Broadband Wavelets on Thin Bed Reservoir Characterisation

Th B3 05 Advances in Seismic Interference Noise Attenuation

ERTH3021 Note: Terminology of Seismic Records

Broadband Temporal Coherence Results From the June 2003 Panama City Coherence Experiments

Spectral Detection of Attenuation and Lithology

Multicomponent seismic polarization analysis

Summary. Seismic vibrators are the preferred sources for land seismic ( ) (1) Unfortunately, due to the mechanical and

Amplitude balancing for AVO analysis

GEOPIC, Oil & Natural Gas Corporation Ltd, Dehradun ,India b

Th ELI1 07 How to Teach a Neural Network to Identify Seismic Interference

Introduction. Figure 2: Source-Receiver location map (to the right) and geometry template (to the left).

Seismic source comparison for compressional and convertedwave generation at Spring Coulee, Alberta. Part I: Heavy vibroseis-dynamite comparison

Technology of Adaptive Vibroseis for Wide Spectrum Prospecting

Study of Hydrocarbon Detection Methods in Offshore Deepwater Sediments, Gulf of Guinea*

Enhanced random noise removal by inversion

B028 Improved Marine 4D Repeatability Using an Automated Vessel, Source and Receiver Positioning System

Field Tests of 3-Component geophones Don C. Lawton and Malcolm B. Bertram

Effect of Frequency and Migration Aperture on Seismic Diffraction Imaging

Cmin. Cmax. Frac volume. SEG Houston 2009 International Exposition and Annual Meeting. Summary (1),

This presentation was prepared as part of Sensor Geophysical Ltd. s 2010 Technology Forum presented at the Telus Convention Center on April 15, 2010.

Accurate Utility Depth Measurements Using the Spar 300

We are IntechOpen, the world s leading publisher of Open Access books Built by scientists, for scientists. International authors and editors

Seismic interference noise attenuation based on sparse inversion Zhigang Zhang* and Ping Wang (CGG)

The Impact of Very High Frequency Surface Reverberation on Coherent Acoustic Propagation and Modeling

Developments in vibrator control

Downloaded 09/04/18 to Redistribution subject to SEG license or copyright; see Terms of Use at

2012 SEG SEG Las Vegas 2012 Annual Meeting Page 1

Extending the useable bandwidth of seismic data with tensor-guided, frequency-dependent filtering

Evaluation of a broadband marine source

The transformation of seabed seismic

Multi-survey matching of marine towed streamer data using a broadband workflow: a shallow water offshore Gabon case study. Summary

Microquake seismic interferometry with SV D enhanced Green s function recovery

McArdle, N.J. 1, Ackers M. 2, Paton, G ffa 2 - Noreco. Introduction.

Summary. Introduction

Hunting reflections in Papua New Guinea: early processing results

Estimation of a time-varying sea-surface profile for receiver-side de-ghosting Rob Telling* and Sergio Grion Shearwater Geoservices, UK

Transcription:

X39 Observations of Surface Vibrator Repeatability in a Desert Environment M.A. Jervis* (Saudi Aramco), A.V. Bakulin (Saudi Aramco), R.M. Burnstad (Saudi Aramco), C. Beron (CGGVeritas) & E. Forgues (CGGVeritas) SUMMARY A series of field tests were conducted to quantify repeatability of land seismic data acquired with a surface vibrator in a desert environment. Tests conducted included six repeated 2D seismic surveys as well as daily and hourly sweep tests using buried surface geophones and buried, cemented geophones. The results indicate that in contrast to marine seismic data, even small source geometry changes (<2 m) may seriously degrade survey repeatability. In addition, even for a fixed geometry, there is significant non-repeatability caused by the interaction of the vibrator with the ground (variable coupling). Events recorded from the deeper cemented sensors exhibit significantly better repeatability compared to those from geophones buried at the surface. Unlike permanent surface piezoelectric source data, variations in travel times and amplitudes of the signals from a surface vibrator do not seem to correlate with diurnal temperature variations. It was observed that the initial sweeps acquired with a vibrator show significant time and amplitude variability as measured by both the surface and deep cemented sensors, whereas data recorded from later sweeps becomes more repeatable. It is clear that land seismic data acquired using a surface vibrator has some inherent non-repeatability, even when the source positioning errors are minimal.

Introduction Desert environments represent a significant challenge for seismic imaging and 4D reservoir monitoring. Industry is addressing imaging challenges by dramatically increasing the source and receiver effort to properly illuminate the targets with a sufficient signal to noise ratio to obtain good quality data. It would be highly desirable to use surface vibrators for 4D acquisition. This requires a good understanding of the stability of the repeated vibroseis sweeps and the seismic repeatability that could be achieved over time. This study focuses on the analysis of pre-stack seismic data repeatability based on a comprehensive field experiment conducted in one of the onshore oil fields in Saudi Arabia. Setting the stage Seismic monitoring, or 4D seismic, has made significant progress in the past few decades. A significant role in this evolution was played by understanding marine data repeatability and the factors that affect it (Calvert, 25). It is generally accepted that the repeatability of acquisition geometry is the largest single factor affecting repeatability of marine seismic data, whereas the stability of the airgun wavelet is rarely considered significant due to the consistent coupling in water. To understand the limitations and prospects of land 4D seismic, in this study we concentrate on the pre-stack repeatability achieved with a standard surface vibrator in a desert environment. A 1D elastic model was constructed from log and shallow first break data (Figure 1a). Variograms were computed from the model data which show commonly used 4D metric called NRMS (normalised root-mean-square amplitude difference between two traces) versus acquisition geometry errors for each offset (Figure 1b and 1c) similar to those shown by Calvert (25). It is clear that NRMS increases dramatically for relatively small shifts in source position. For example, using buried sensor data and a 15 ms time window around the first breaks and buried sensors at 3 m (an actual field test configuration), the NRMS reaches 1% for a 3 m shift in source position between successive surveys. This happens because the near-surface used in the model has a number of thin layers with high velocity contrasts that scatter energy very differently depending on the actual source and receiver geometry. Unlike the marine case with a simple overburden, these very small positioning errors can have potentially very large effects on repeatability, even without considering more complex near-surface heterogeneity, and seasonal and diurnal changes. Depth, (m) 5 1 15 Vp Vs Density NRMS, % 9 8 7 6 5 4 offset=5m offset=1m offset=2m offset=3m offset=4m offset=5m offset=6m NRMS, % 2 18 16 14 12 1 8 offset=1m offset=5m offset=1m offset=15m offset=19m 3 6 2 (a) 25 5 1 15 2 25 3 35 4 45 5 V P,S (m/s), (kg/m 3 ) 2 1 (b).5 1 1.5 2 2.5 3 3.5 Source position difference, m 4 2 (c) 2 4 6 8 1 12 14 16 18 2 Source position difference, m Figure 1 Near-surface modelling results showing (a) the input 1D model derived from log and shallow uphole data, and synthetic 4D variograms obtained with a surface source and 3 m buried receiver via full-waveform elastic modelling computed using (b) a 15 ms window around the first breaks and (c) using the full trace as the analysis window. Real world complexities Repeatability of the surface vibrator data is affected by source geometry or location errors (amplified by near-surface 3D heterogeneity), daily/seasonal variation in the immediate near-surface and vibrator interaction with the ground (coupling). The ultimate goal of any onshore repeatability study should be to quantify the relative contribution of each of these factors into the overall non-repeatability of 4D surveys. This should give an insight into which factors are dominant and how they can be mitigated. In this study, observations are presented from an onshore feasibility monitoring experiment in Saudi

Arabia. This test data provides some initial hints on what factors are significant, and how they are affecting the data. The source used is a Sercel M26HD/623B surface vibrator, shooting into fixed, shallow buried geophones at the surface and cemented geophones at 3 m depth. Geometry errors A way to evaluate the effect of source geometry errors is by looking at the first arrivals for repeat seismic surveys. Results presented below are computed on the near-offset traces from the surface vibrator to 3 m buried receivers (Figure 2a) and concentrate on early arrivals that are expected to be direct body waves mixed with some later arrivals including surface-related ghosting, internal multiples and mode-conversions. Plotting NRMS and source position errors using the real data (Figure 2b) shows a similar trend as in the synthetic data case (Figure 1b); larger geometry errors produce less repeatable data. For this real data case, even when the acquisition geometry is almost perfectly repeated, the NRMS does not reach zero, but approaches a minimum of about 2%. Time (sec).5.1.15 (a) NRMS (%) 1 9 8 7 6 5 4 (b) 3.2 2 1 651 6515 652 6525 653 6535 Shot number.5 1 1.5 2 2.5 Figure 2 Results from vibroseis acquisition into a geophone cemented at 3m depth showing (a) a common-receiver gather and (b) a trace-by-trace computation of NRMS versus source position difference over six different surveys. The analysis window is shown by the green box. Traces from survey one are shown in red and surveys two through six are shown in black. Colored dots in the right panel represent source positioning error and the NRMS values for the different survey pairs. Why geometry is only part of the answer on land? (Daily and hourly tests) Other factors that affect onshore seismic repeatability, apart from positioning errors, include daily/seasonal changes in the very near surface and variable vibrator interaction with the ground (inconsistent coupling) (Spitz and Faure, 26). It has been shown by Schissele et al (29), for nondesert environments, that daily variations are clearly observable with buried receivers and a permanent piezoelectric source at the surface. It remains to be seen if such daily changes can be observed using surface vibroseis acquisition into buried and cemented receivers. In this study we fixed the source location for a series of hourly and daily vibroseis source tests to minimize the influence of geometry on repeatability. It was hoped that this test data could be used to evaluate the contribution of variable source coupling and daily variations to seismic repeatability. In these tests, the vibrator remained stationary for 14 days with the baseplate down. During the daily tests, the vibrator made 2 sweeps every morning (7 AM local time [+3 GMT]) and every afternoon (2 PM). Figure 3 shows the stability analysis of a 4 ms wavelet obtained by stacking 2 adjacent traces from offsets 79 m to 1338 m (yellow rectangle, Figure 3a) after NMO correction. Repeatability of the timing and amplitude of the stacked wavelet was evaluated with respect to the median value over the entire period by using cross-correlation analysis; time delay quantifies temporal variation, whereas the maximum of the cross-correlation describes amplitude changes. Even though trends for the surface and buried geophone data may be similar, the scatter is clearly much larger using the surface sensors. This implies that permanent surface geophones are significantly noisier, less well coupled, and more susceptible to daily variations (afternoon recordings have generally earlier wavelet times than the morning), therefore, they are less repeatable than geophones buried at deeper depths. This means that data from the deeper cemented geophones is thus more likely to show variations caused by the source. Examining the data recorded with cemented geophones, there appears to be a warming up or ground compacting stage where the first two or three sweeps show large timing and amplitude variations Source position difference (m)

whereas subsequent sweeps appear to stabilize and display much smaller differences. We do observe drift and jumps in wavelet timing and amplitude between morningg and afternoon tests that do not seem to correlate with pronounced daily temperature variation in the desert. Note e that the weather was consistently dry and sunny throughout entire testing period. Figure 3 Daily vibrator repeatability testss using buried and surface receivers showing (a) a shot gather with the window used forr wavelet stability analysis overlain in yellow andd (b) daily amplitude and timing variations over a nine day periodd for both the surface andd buried geophones. The vibrator was stationary with the pad down except when moved slightly on May 16 th and swapped with another vibrator for maintenancee on May 18 thh. Figure 4 Hourly vibrator test recorded over approximately three days using the permanent geophones cemented at 3m depth. The vibrator remained stationaryy throughoutt the test with the pad down. No obvious correlation of the hourly variations with ambient temperature is observed. Figure 4 shows results of an hourly vibrator test conducted after the daily testing. The same time and offset window is used for this analysis, as inn Figure 3a, to derive wavelet arrival time and amplitude variations. Hourly tests show no clear correlation between wavelet variations andd diurnal temperature, though data acquired in the afternoon shows generally higher amplitude with slightly larger timing differences than the morning data. Wavelet timing and amplitudes show smooth variations over periods of several hours with the t initial sweeps in any single 2 sweep sequence showing more variation than subsequent ones. This results in discontinuities in wavelet timingg and amplitude from each hourly test to the next, but with much smaller jumps than those t observed on the daily test experiment. These surface vibroseis results were compared to those for a permanent low-energy same cemented geophones, the piezoelectric source bolted to a concrete plate (results not shown here). Using the piezoelectric data show smoothly varying hourly and daily perturbations in amplitude and traveltime that correlate well with diurnal temperature t changes. This clear correlation is not seen on the surface vibrator data suggesting that variations in the surface vibrator are not related to ambient temperature, but to either the inherent repeatability of the vibrator itself, or the baseplate coupling with the ground. The warming up or ground compacting stage for the surface vibroseis data is greater for the daily tests data and somewhat less apparent for thee hourly sweep tests suggesting that the vibrator compacts

the sand, but within less than one hour the sand partially relaxes/rebounds and there is a jump in timing and amplitude at the beginning of the next sweep test. This hysteresis-like behaviour is most apparent on the daily test experiment where there is a longer time between sweep tests (eight hours vs. one hour). As a consequence, it is expected that in onshore 4D vibroseis seismic surveys there will always have an intrinsic non-repeatability factor caused by interaction of the vibrators with the ground, even if the geometry is fixed and repeat records are acquired at exactly the same time of the day to minimize daily temperature effects. Clearly, vibrator coupling changes even if the vibrator remains stationary. Our 1D elastic modelling (Figure 1) shows that even larger changes in wavelet timing and amplitude will occur when the vibrators leave and return during 4D repeat surveys since they can never be perfectly repositioned at the same source locations. In addition, vibrator coupling is known to strongly depend on the exact configuration of the contact area between the base plate and the ground. Wei et al. (211) demonstrate that this problem becomes more acute at higher frequencies. Consistent with these findings, it was observed that even for data with small differences between measured source locations (<.5 m), the phase spectra of the first arrivals are more or less stable between 1 to 4 Hz, and then it starts to deviate more significantly above 5 Hz and below 7 Hz. Discussion and conclusions The pre-stack repeatability of land vibroseis data in a desert environment was examined in detail by repeating the same 2D seismic survey six times over a period of four month, as well as conducting other daily and hourly source repeatability tests. We have verified that even with perfectly repeatable geometry of stationary vibrator and permanently trenched surface geophones in sand, pre-stack data exhibits significant short-term (over minutes) and long-term (hourly to daily) variations in amplitude (up to 3%) and traveltime (up to 1 ms). Data from stationary vibrator to a buried 3 m geophones is significantly more stable (up to 2% amplitude and.5 ms travel time variation), yet still shows large variations or jumps over the longer time periods. Data suggest that the surface vibrator has a warming up stage during which it likely changes (compacts) the sandy ground in this test area within the first two or three sweeps. This compaction at least partially rebounds within a period of less than one hour. Therefore, it is expected that repeat onshore seismic surveys using non-stationary surface vibrators will always have some kind of irreducible non-repeatability that cannot be eliminated even when the source geometry is perfectly repeated and buried cemented sensors are used. No recognizable effects from daily temperature variations were observed on these data suggesting that compaction and mechanical coupling effects dominate the non-repeatable errors. It was observed on both synthetic and field data that even small (by marine standards) mispositioning of source locations between surveys, on the order of.5 to 3 meters, can cause large increases in non-repeatability as measured on the pre-stack data. While deep reflections may be much more repeatable, poorly-repeatable interfering noise (surface waves, refractions, shear waves etc) will invariably contaminate the desired 4D reservoir response on land. This type of error places much more stringent requirements on geometry repeatability for onshore vibroseis seismic acquisition. Acknowledgements We would like to thank Renat Shigapov (St. Petersburg State University) for help with synthetic modelling. References Calvert, R. [25] Insights and Methods for 4D Reservoir Monitoring and Characterization, SEG/EAGE Distinguished Instructor Short Course, SEG. Schissele, E., Forgues, E., Echappé, J., Meunier, J., de Pellegars, O, and Hubans, C [29] Seismic Repeatability Is There a Limit?, 71st EAGE Conference & Exhibition, Extended Abstracts, V21. Spitz, S., and Faure, P [26] Onshore 4D seismic repeatability at the gas storage geophysical laboratory, 76th SEG Annual International Meeting, Expanded Abstracts, 3175-3179. Wei, Z., Hall, M. A. and Phillips, T. F. [211] Geophysical benefits from an improved seismic vibrator, Geophysical Prospecting, DOI: 1.1111/j.1365-2478.211.994.x.