Th G Microtremor Analysis in Seismic Reflection Data for Identification of Oil and Gas Reservoirs
|
|
- Jessica Webster
- 6 years ago
- Views:
Transcription
1 Th G Microtremor Analysis in Seismic Reflection Data for Identification of Oil and Gas Reservoirs T.I. Chichinina* (Mexican Institute of Petroleum), E.A. Hogoev (Trofimuk Institute of Petroleum Geology and Geophysics) & A. Reyes-Pimentel (Universidad Nacional Autónoma de Mexico) SUMMARY A new method of spectral analysis of hydrocarbon tremors (microseisms) is developed for seismic exploration of oil and gas. As an input data this method uses standard 3D seismic reflection data. In comparison with other methods of passive seismology, this method does not require any specific field acquisition and devices, since the input data can be extracted from conventional seismic reflection data. The know-how of the method is in using the time intervals in the wave records before the first arrivals, as input data for the method. Then, we have developed the method furthermore by using the intervals of seismic traces corresponded to the latest times, that is after all the reflection-waves events. As an example, an algorithm is presented by its application to Oriental Siberia data. There is a strong correlation of the tremor spectrum intensity with the oil/gas pay-zone location. In the well perforated following our prognosis, substantial gas flow has been obtained with an excellent production rate.
2 Introduction Thirty years ago, geophysicists found out a special kind of natural microseismic activity related to the presence of hydrocarbon reservoirs in the Earth; they call this phenomenon the oil and gas microtremor or the microseisms (MS) emission of hydrocarbons (Sadovskiy and Nikolaev 1982; Nersesov et al. 1990). These microtremors of hydrocarbons have energy in the low frequency spectrum, in the certain interval from 2 Hz to 5 Hz. The discovery of this kind of hydrocarbon (HC) microtremors has led to the development of passive microseismic technologies for seismic exploration (e.g. Arutyunov et al. 1998; Dangel et al. 2003; Birialtsev et al., 2006; Holzner et al. 2005; Hanssen and Bussat 2008; Lambert et al. 2009; Saenger et al. 2009; Katebi et al. 2011; Gerivani et al. 2012). The MS response of oil and gas reservoirs from different oil/gas fields in the world has the same characteristics of frequency range and spectrum shape. For example, Dangel et al. (2003) demonstrate similar MS amplitude spectra from the places as distant as United Arab Emirates and Switzerland. Saenger et al. (2009) show amplitude spectra from the Burgos Basin in Mexico, which are very similar to those mentioned, with the same frequency range. There were performed numerous efforts to understand the causes of this phenomenon of microseisms related to oil and gas (e.g. Korchagin 2000; Birialtsev et al. 2006; Saenger et al. 2009; Frehner et al. 2009; Holzner et al. 2009; Broadhead 2010; Suntsov and Grafov 2010; Suntsov and Smirnov 2010; Svalov 2010; Rapoport 2013; Shabalin et al. 2013). Nowadays there is no unique theory which perfectly explains all the aspects of this phenomenon. However in spite of absence of a unified theory, various methods of MS spectral analysis are rapidly developed for seismic exploration of oil and gas. In order to detect MS emission, there are commonly used complex multi-channel seismic stations including broadband seismographs measuring the natural seismic activity during long periods of time (from several days to weeks) (e.g. Lambert et al. 2009). Instead of these expensive data acquisitions, we have developed a method which enables using standard seismic reflection data to analyze the microseismic emission. As we know, the detection of microseismic events comes from passive seismology, while seismic reflection-wave surveys are related to active methods of seismic exploration, because of the use of artificial sources (such as seismic vibrators, shot guns, explosions, etc.). The question of how to merge these techniques from these two different approaches that is the active and passive methods was solved by Vedernikov (2001), who developed a quite ingenious method to detect microseismic events from seismic reflection data. Method The method uses the early-time portions of common-shot-point gathers, before the first arrivals of seismic wave fronts, as shown in Figure 1 (the area marked by number 1). Such portions of seismic records contain all needed information on natural microseisms and are considered as an input data in the method. Figure 1 shows the zone with square (rectangle) geometry that is formed by the offsets interval (1500 m; 4000 m) and the time interval from 0 to 500 ms, for this case study performed in oil/gas field of Oriental Siberia. In other words, Vedernikov method uses long offsets and early times (e.g. Vedernikov 2006; 2012; 2013; Vedernikov and Hogoev 2006; 2007). An example of the method application is illustrated in Figure 4. Figure 4-c shows 2D seismic section from a zone where a productive well was drilled. Total amplitude spectrum along the section is shown in Figure 4-b, where the zone with the productive well exhibits evident spectrum anomaly. The MS spectrum exhibits predominant frequency range at the interval from 10 Hz to 20 Hz (shown in Figure 4-a). Note that this frequency range of microseisms is higher than in the case of conventional passive MS monitoring that is usually from 1 Hz to 5 Hz as mentioned in the introduction. The background theory of Vedernikov method is based on the latest studies, which have shown that the amplitude spectrum of hydrocarbon tremors can be made broadband (e.g. from 1 to 40 Hz) and/or more intensive by stimulation of vibroseismic-source excitation (Vedernikov et al. 2001, Alekseev et al. 2004, Suntsov et al. 2006, Serdyukov and Kurlenya, 2007, Kuznetsov et al. 2007). Thus, during conventional field jobs on seismic data acquisition for the method of reflected waves, concomitant stimulation of HC microseisms by artificial seismic sources (vibrators, shot guns, explosions, etc.) evidently takes place. Workflow of the method (Hogoev 2008). The first step in the workflow is selection of the appropriate seismic traces based in a threshold value given by the following equation: M u 3, where M is i
3 the mean, and σ is the variance of the RMS amplitude distribution in seismic traces (u i ) along seismic profile. The rejected traces are those whose difference between the RMS amplitude with respect to the mean is larger than three times the standard deviation (square root of the variance) of the amplitude distribution. With the application of the rejection criteria, the traces with extreme RMS values are eliminated. Figure 2 shows histogram of RMS amplitude of traces along a profile, before (Figure 2a) and after (Figure 2b) the application of the rejection criteria. The traces below the threshold value were used for stacking along the profile; the most of the MS data has good quality with stacking fold close to 30 (Figure 2c). In the next step, Fast Fourier Transform was applied trace by trace to calculate the MS-amplitude spectrum along the seismic profile line. The following ranges of frequencies are selected to Figure 1. Common shot point gather and two zones inside of it, which are used as input data in Vedernikov method (marked by number 1), and in the new method developed (marked by number 2). calculate the mean value of spectra: (1) from 0 to 10 Hz, (2) from 10 to 20 Hz, and so on, up to the interval from 50 to 60 Hz. The resultant graphs of MSamplitude spectrum as a function of horizontal distance along the profile line are shown in Figure 3, before (a) and after (b) application of smoothing and filtering procedures. Note the highest MS energy at the low frequency intervals from 0 to 20 Hz. Figure 2. Improving quality of the MS data: RMSamplitude histogram from all the traces (before (a) and after (b)). Final stacking-fold histogram (c). Figure 3. Application of smoothing and filtering procedures to MS-spectra (before (a) and after (b)). Method Development and Results Our development of the method is based on use of traces at the latest times as an input data, instead of using the early times as in the original method of Vedernikov. We assume that after 3.5 s of active seismic records, the attenuation of active seismic waves took place and so that the main portion of energy came exclusively from microseisms. So, from each common shot point gather, we use those parts of seismic traces, which enter into the zone marked by number 2 shown in Figure 1. To evaluate the developed method, we compare its results with the old method that is the original method of Vedernikov. The amplitude spectra calculated with using late times show higher contrasts in frequency anomalies in comparison with the original method. And also it allows us to find anomalies not identified before by the original methodology. The low-frequency anomalies in the MS amplitude spectrum are mainly located at an anticline shown in Figure 4c.
4 From the traditional methods of seismic-reflection-data interpretation, this anticline has been identified, but there was uncertainty if it could be related to a hydrocarbon reservoir. Figure 4. Spectral analysis of MS in oil/gas field from Oriental Siberia, where the successful well Bh-1 drilled in a zone with a lowfrequency anomaly. The results of the MS analysis have reduced the uncertainty. Then, when the well Bh-1 (shown in Figure 4a) was drilled, it has proved the method by high rate of gas production (974,000 m 3 / day) as well as gas condensate flow at the depth 1500 m. Figure 5 shows a map of MS spectra, where there is a pair of mutually intersected profiles oriented approximately N-S and W-E. (The profile N-S is shown in Figure 4.) The map shows the total (for the interval from 0 to 40 Hz) MS-amplitude spectrum (normalized to its maximum value). In the map, all the dry wells are located outside of the zone of MS-spectrum anomaly. The only producing well Bh-1 is situated inside of the zone of the evident MS anomaly. As we can see, there are other perspective places with higher probability of hydrocarbons for well drilling which can be highly recommended. It should be done to the north -- north-east from the well Bh-1, where the strongest anomaly of microseisms has been found. In Figure 6, one can compare two independently determined MS-amplitude spectra, estimated in the cross point of the two profiles (W-E and S-N). Each spectrum is calculated separately in its own seismic section along its corresponding profile (W-E or S-N). Both spectra graphs having high correlation coefficient of are very similar to each other. This test can support and prove the method. Conclusions The method of MS spectral analysis is useful to reduce uncertainties during exploration stages. The proposed workflow uses standard seismic reflection data as an input data, and therefore it can be applied in most oil/gas fields, with a very low economic inversion because it does not require any additional efforts for field data acquisition. The method provides seismic profiles with distribution of the amplitude spectra of microseisms (MS) along these profiles, as well as the MS spectral attribute maps. This independent and valuable information complements the results of standard interpretation
5 such as structural and stratigraphic maps and sections. The method provides direct hydrocarbon indicators, and therefore it would be promising and could open new perspectives in exploration of unconventional reservoirs such as shale gas /oil plays, in which there are no any evident oil and gas traps as in conventional reservoirs. Figure 5. MS-amplitude spectra map. Pair of intersected seismic profiles (WE and SN). The well Bh-1. Zoomed fragment (b). References Figure 6. Two MS-amplitude spectra calculated at the intersection point of the two seismic profiles, WE and NS. Arutyunov, S.L, Grafov, B.M. and Sirotinsky, Y.V. [1998] ANChAR as unique technology of direct hydrocarbon field exploration. Geoinformatika (Geoinformatics) 98, (in Russian). Birialtsev, E.V., Plotnikova, I.N., Khabibulin, I.R., Shabalin, N.Y. [2006] The analysis of microseism spectrum for prospecting of oil reservoir in Republic Tatarstan/ EAGE Conference.-Saint Petersburg, Russia. Dangel, S., Schaepman, M.E., Stoll, E.P., Carniel, R., Barzandji, O., Rode, E.-D., Singer, J.M. [2003] Phenomenology of tremor-like signals observed over hydrocarbon reservoirs. Journal of Volcanology and Geothermal Research 128, Gerivani, H., Haghshenas, E., Hafezi Moghaddas, N., Ghafoori, M. and lashkaripour, G.R. [2012] Frequency amplitude range of hydrocarbon microtremors and a discussion on their source. Journal of Geophysics and Engineering, 9, Hanssen, P. and Bussat, S. [2008] Pitfalls in the analysis of low frequency passive seismic data. First Break, 26, June, Hogoev, E.A. [2008] Certificate of state (Russian Federation) registration of computer program SanMcs from (in Russian). Holzner, R., Eschle, P., Lambert, M., Graf, R., Dangel, S., Meier, P. [2005] Applying microtremor analysis to identify hydrocarbon reservoirs. First Break, 23. Holzner, R., Eschle, P., Dangel, S., Frehner, M., Narayanan, C., and Lakehal, D. [2009] Hydrocarbon microtremors interpreted as nonlinear oscillations driven by oceanic background waves. Communications in Nonlinear Science and Numerical Simulation, 14, Kuznetsov, O.L., Dyblenko, V.P., Chirkin, I.A. [2007] Specific storage of stress energy related to the anomalies of seismic-acoustic emission from oil and gas reservoirs. Geofizika, 6, 8-15 (in Russian). Lambert, M.-A., Schmalholz, S. M., Saenger, E.H. and Steiner, B. [2009] Low-frequency microtremor anomalies at an oil and gas field in Voitsdorf, Austria. Geophysical Prospecting, 57, Nersesov, I.L., Kaazik, P.B., Rahmatullin, M.H., Tregub, F.S. [1990] On the opportunities for gas exploration from the amplitude spectral ratios of microseismic tremor. Doklady of the USSR Academy of Sciences, 312, N4, (in Russian). Sadovskiy, M.A., Nikolaev, A.V. [1982] New methods in seismic exploration. Prospects for the research development. Vestnik of the USSR Academy of Sciences, N1, (in Russian). Saenger, E.H., Schmalholz, S.M., Lambert, M.-A., Nguyen, T.T., Torres, A., Metzger, S., Habiger, R.M., Müller, T., Rentsch, S. and Méndez-Hernández, E. [2009] A passive seismic survey over a gas field: Analysis of low-frequency anomalies. Geophysics, 74, O29-O40. Serdyukov, S.V., Kurlenya, M.V. [2007] Seismic stimulation of oil reservoirs. Russian Geology and Geophysics, 48, 11, Vedernikov, G.V., Zharkov, A.V., Maksimov, L.A. [2001] Experiments on estimation of geodynamic noise from oil and gas reservoirs. Geofizika, Spets. vypusk 30 let OAO Sibneftegeofizika, (in Russian).
S037 Recent Low Frequency Passive Seismic Experiments in Abu Dhabi SUMMARY
S037 Recent Low Frequency Passive Seismic Experiments in Abu Dhabi M.Y. Ali* (The Petroleum Institute), K.A. Berteussen (The Petroleum Institute), J. Small (The Petroleum Institute), B.T. Anjana (The Petroleum
More informationP211 Low Frequency Modifications of Seismic Background Noise Due to Interaction with Oscillating Fluids in Porous Rocks
P11 Low Frequency Modiications o Seismic Background Noise Due to Interaction with Oscillating Fluids in Porous Rocks M. Frehner* (Geological Institute, ETH Zurich), S.M. Schmalholz (Geological Institute,
More informationA33 The Challenge for Surface Passive Seismic Measurements in Kuwait
A33 The Challenge for Surface Passive Seismic Measurements in Kuwait G.R. Rached* (Kuwait Oil Company) SUMMARY Surface passive seismic is a direct hydrocarbon saturation indicator technology. It detects
More informationConsiderations of observed spectral anomalies over hydrocarbon reservoirs generated by microtremors
Considerations of observed spectral anomalies over hydrocarbon reservoirs generated by microtremors E.H. Saenger* (ETH Zurich / Spectraseis), B. Steiner (ETH Zurich), S.M. Schmalholz (ETH Zurich), M. Lambert
More informationAPPLICATIONS OF THE HILBERT-HUANG TRANSFORM TO MICROTREMOR DATA ANALYSIS ENHANCEMENT
October 1-17,, Beiing, China APPLICATIONS OF THE HILBERT-HUANG TRANSFORM TO MICROTREMOR DATA ANALYSIS ENHANCEMENT Lanbo Liu 1,,3, Robert Mehl, and Qi-fu Chen 3 1 Dept. of Civil & Environmental Engineering,
More informationC046 Combined Seismic Survey Based on the Use of Different Types of Seismic Waves (CT-Seismic) Conception and Case Studies
C046 Combined Seismic Survey Based on the Use of Different Types of Seismic Waves (CT-Seismic) Conception and Case Studies B.Y. Meltchouk* (Geoacoustic Ltd), O.L. Kuznetsov (Institute for New Oiland-Gas
More informationFeasibility and design study of a multicomponent seismic survey: Upper Assam Basin
P-276 Summary Feasibility and design study of a multicomponent seismic survey: Upper Assam Basin K.L.Mandal*, R.K.Srivastava, S.Saha, Oil India Limited M.K.Sukla, Indian Institute of Technology, Kharagpur
More informationINTEGRATED GEOPHYSICAL INTERPRETATION METHODS FOR HYDROCARBON EXPLORATION
INTEGRATED GEOPHYSICAL INTERPRETATION METHODS FOR HYDROCARBON EXPLORATION Instructor : Kumar Ramachandran 31 July 4 August 2017 Jakarta COURSE OUTLINE The course is aimed at imparting working knowledge
More informationASSESSMENT OF A POTENTIAL HYDROCARBON RESERVOIR IN A YOGYAKARTA BASIN USING BROADBAND-NOISE ANALYSIS
ISSN: 2186-2982 (P), 2186-2990 (O), Japan, DOI: https://doi.org/10.21660/2018.49.ijcst59 Special Issue on Science, Engineering & Environment ASSESSMENT OF A POTENTIAL HYDROCARBON RESERVOIR IN A YOGYAKARTA
More informationTHE USE OF SEISMIC ATTRIBUTES AND SPECTRAL DECOMPOSITION TO SUPPORT THE DRILLING PLAN OF THE URACOA-BOMBAL FIELDS
THE USE OF SEISMIC ATTRIBUTES AND SPECTRAL DECOMPOSITION TO SUPPORT THE DRILLING PLAN OF THE URACOA-BOMBAL FIELDS Cuesta, Julián* 1, Pérez, Richard 1 ; Hernández, Freddy 1 ; Carrasquel, Williams 1 ; Cabrera,
More informationAnalysis of Low-Frequency Passive Seismic Attributes in Maroun Oil Field, Iran
Journal of the Earth and Space Physics, Vol. 43, No. 4, Winter 018, P. 11-6 Analysis of Low-Frequency Passive Seismic Attributes in Maroun Oil Field, Iran Ebrahimi, M. 1, Moradi, A. * and Seidin, H. 3
More informationAmbient noise study over a gas field in Qeshm Island (IRAN)
Ambient noise study over a gas field in Qeshm Island (IRAN) H.Gerivani Ferdowsi University of mashhad, Mashhad, Iran E. Haghshenas International Institute of Earthquake Engineering and Seismology (IIEES),
More informationSeismic methods in heavy-oil reservoir monitoring
Seismic methods in heavy-oil reservoir monitoring Duojun A. Zhang and Laurence R. Lines ABSTRACT Laboratory tests show that a significant decrease in acoustic velocity occurs as the result of heating rock
More informationThe effect of anticlines on seismic fracture characterization and inversion based on a 3D numerical study
The effect of anticlines on seismic fracture characterization and inversion based on a 3D numerical study Yungui Xu 1,2, Gabril Chao 3 Xiang-Yang Li 24 1 Geoscience School, University of Edinburgh, UK
More informationPETROLEUM GEOSCIENCES GEOLOGY OR GEOPHYSICS MAJOR
PETROLEUM GEOSCIENCES GEOLOGY OR GEOPHYSICS MAJOR APPLIED GRADUATE STUDIES Geology Geophysics GEO1 Introduction to the petroleum geosciences GEO2 Seismic methods GEO3 Multi-scale geological analysis GEO4
More informationMicroseismic data illuminate fractures in the Montney
Spectraseis White Paper August 16, 2012 2013 Spectraseis Microseismic data illuminate fractures in the Montney Brad Birkelo and Konrad Cieslik, Spectraseis High-quality data reveal fracture orientation
More informationFUNDAMENTALS OF SEISMIC EXPLORATION FOR HYDROCARBON
FUNDAMENTALS OF SEISMIC EXPLORATION FOR HYDROCARBON Instructor : Kumar Ramachandran 10 14 July 2017 Jakarta The course is aimed at teaching the physical concepts involved in the application of seismic
More informationImproved image aids interpretation: A case history
Ye Zheng, Scott Cheadle (Veritas GeoServices, Calgary, Canada) Glenn M. Rising (Perez Companc Norcen Corod, Venezuela) SUMMARY The Oritupano-Leona 3D of Eastern Venezuela was originally acquired and processed
More informationMicroseismicity applications in hydraulic fracturing monitoring
Available online atwww.scholarsresearchlibrary.com Archives of Applied Science Research, 2016, 8 (4):13-19 (http://scholarsresearchlibrary.com/archive.html) ISSN 0975-508X CODEN (USA) AASRC9 Microseismicity
More informationToward interpretation of intermediate microseismic b-values
Toward interpretation of intermediate microseismic b-values Abdolnaser Yousefzadeh, Qi Li, Schulich School of Engineering, University of Calgary, Claudio Virues, CNOOC- Nexen, and Roberto Aguilera, Schulich
More informationNew Frontier Advanced Multiclient Data Offshore Uruguay. Advanced data interpretation to empower your decision making in the upcoming bid round
New Frontier Advanced Multiclient Data Offshore Uruguay Advanced data interpretation to empower your decision making in the upcoming bid round Multiclient data interpretation provides key deliverables
More informationP066 Duplex Wave Migration for Coal-bed Methane Prediction
P066 Duplex Wave Migration for Coal-bed Methane Prediction N. Marmalevskyi* (Ukrainian State Geological Prospecting Institute), A. Antsiferov (UkrNIMI), Z. Gornyak (Ukrainian State Geological Prospecting
More informationAdding Value with Broadband Seismic and Inversion in the Central North Sea Seagull Area
H2-2-1 Adding Value with Broadband Seismic and Inversion in the Central North Sea Seagull Area Marnix Vermaas, Andy Lind Apache North Sea, Aberdeen, UK Introduction The merits of modern broadband seismic
More informationPluto 1.5 2D ELASTIC MODEL FOR WAVEFIELD INVESTIGATIONS OF SUBSALT OBJECTIVES, DEEP WATER GULF OF MEXICO*
Pluto 1.5 2D ELASTIC MODEL FOR WAVEFIELD INVESTIGATIONS OF SUBSALT OBJECTIVES, DEEP WATER GULF OF MEXICO* *This paper has been submitted to the EAGE for presentation at the June 2001 EAGE meeting. SUMMARY
More information23855 Rock Physics Constraints on Seismic Inversion
23855 Rock Physics Constraints on Seismic Inversion M. Sams* (Ikon Science Ltd) & D. Saussus (Ikon Science) SUMMARY Seismic data are bandlimited, offset limited and noisy. Consequently interpretation of
More informationDownloaded 09/09/15 to Redistribution subject to SEG license or copyright; see Terms of Use at
Reservoir properties estimation from marine broadband seismic without a-priori well information: A powerful de-risking workflow Cyrille Reiser*, Matt Whaley and Tim Bird, PGS Reservoir Limited Summary
More informationAzimuthal Velocity Analysis of 3D Seismic for Fractures: Altoment-Bluebell Field
Azimuthal Velocity Analysis of 3D Seismic for Fractures: Altoment-Bluebell Field Khaled Al Dulaijan and Gary F. Margrave CREWES Summary The 3D seismic data was acquired within Bluebell Field, the eastern
More informationWe LHR3 06 Detecting Production Effects and By-passed Pay from 3D Seismic Data Using a Facies Based Bayesian Seismic Inversion
We LHR3 06 Detecting Production Effects and By-passed Pay from 3D Seismic Data Using a Facies Based Bayesian Seismic Inversion K.D. Waters* (Ikon Science Ltd), A.V. Somoza (Ikon Science Ltd), G. Byerley
More informationReprocessing strategy for shallower prospects from the available 3D data set Case history of Cambay Basin
P-378 Reprocessing strategy for shallower prospects from the available 3D data set Case history of Cambay Basin M.Singh*, Vikash Chandra, USD Pandey Summary The occurrence of non commercial hydrocarbons
More informationTan K. Wang National Taiwan Ocean University, Keelung, Taiwan, R.O.C.
SEISMIC IMAGING IN THE OCEANS Tan K. Wang National Taiwan Ocean University, Keelung, Taiwan, R.O.C. Keywords: Converted wave, multi-channel seismic, ocean-bottom seismometer, travel-time inversion, virtual
More informationA.K. Khanna*, A.K. Verma, R.Dasgupta, & B.R.Bharali, Oil India Limited, Duliajan.
P-92 Application of Spectral Decomposition for identification of Channel Sand Body in OIL s operational area in Upper Assam Shelf Basin, India - A Case study A.K. Khanna*, A.K. Verma, R.Dasgupta, & B.R.Bharali,
More informationAn Open Air Museum. Success breeds Success. Depth Imaging; Microseismics; Dip analysis. The King of Giant Fields WESTERN NEWFOUNDLAND:
VOL. 7, NO. 4 2010 GEOSCIENCE & TECHNOLOGY EXPLAINED GEO EXPRO VOL. 7, NO. 4 2010 Success breeds Success geoexpro.com Country Profile: Senegal Ocean Bottom Node Seismic WESTERN NEWFOUNDLAND: An Open Air
More informationImproving Resolution with Spectral Balancing- A Case study
P-299 Improving Resolution with Spectral Balancing- A Case study M Fatima, Lavendra Kumar, RK Bhattacharjee, PH Rao, DP Sinha Western Offshore Basin, ONGC, Panvel, Mumbai Summary: The resolution limit
More informationEdinburgh Anisotropy Project, British Geological Survey, Murchison House, West Mains
Frequency-dependent AVO attribute: theory and example Xiaoyang Wu, 1* Mark Chapman 1,2 and Xiang-Yang Li 1 1 Edinburgh Anisotropy Project, British Geological Survey, Murchison House, West Mains Road, Edinburgh
More informationMethod selection of microseismic studies depending on the problem being solved
GEORESURSY = Georesources 2018. V. 20. Is 3. Part 2. Pp. 217-221 Original research article DOI: https://doi.org/10.18599/grs.2018.3.217-221 Method selection of microseismic studies depending on the problem
More informationMulti-scale fracture prediction using P-wave data: a case study
Multi-scale fracture prediction using P-wave data: a case study Wanlu Zhang 1,2,*, Shuangquan Chen 1,2, Jian Wang 3, Lianbo Zeng 1, Xiang-Yang Li 1,2,4, 1. State Key Laboratory of Petroleum Resources and
More informationAn Analytic Approach to Sweetspot Mapping in the Eagle Ford Unconventional Play
An Analytic Approach to Sweetspot Mapping in the Eagle Ford Unconventional Play Murray Roth*, Transform Software and Services, Denver, Colorado, Murray@transformsw.com Michael Roth, Transform Software
More informationFloatSeis Technologies for Ultra-Deep Imaging Seismic Surveys
FloatSeis Technologies for Ultra-Deep Imaging Seismic Surveys 25 th January, 2018 Aleksandr Nikitin a.nikitin@gwl-geo.com Geology Without Limits Overview 2011-2016 GWL Acquired over 43000 km 2D seismic
More informationOTC OTC PP. Abstract
OTC OTC-19977-PP Using Modern Geophysical Technology to Explore for Bypassed Opportunities in the Gulf of Mexico R.A. Young/eSeis; W.G. Holt, G. Klefstad/ Fairways Offshore Exploration Copyright 2009,
More informationComplex atmospheric-lithospheric observations of acoustic emission at «Karymshina» site in Kamchatka
Complex atmospheric-lithospheric observations of acoustic emission at «Karymshina» site in Kamchatka Igor Larionov 1, 1 Institute of Cosmophysical Research and Radio Wave Propagation FEB RAS, Paratunka,
More informationGeosciences Career Pathways (Including Alternative Energy)
Geosciences Career Pathways (Including Alternative Energy) Shale Carbonates Clastics Unconventionals Geology Characterization and Production Properties of Gas Shales Geomechanics in International Shale
More informationWalkaway Seismic Experiments: Stewart Gulch, Boise, Idaho
Walkaway Seismic Experiments: Stewart Gulch, Boise, Idaho Lee M. Liberty Center for Geophysical Investigation of the Shallow Subsurface Boise State University Boise, Idaho 1. Summary CGISS conducted walkaway
More informationMultiple horizons mapping: A better approach for maximizing the value of seismic data
Multiple horizons mapping: A better approach for maximizing the value of seismic data Das Ujjal Kumar *, SG(S) ONGC Ltd., New Delhi, Deputed in Ministry of Petroleum and Natural Gas, Govt. of India Email:
More informationAVO is not an Achilles Heel but a valuable tool for successful exploration west of Shetland
1 AVO is not an Achilles Heel but a valuable tool for successful exploration west of Shetland NICK LOIZOU 1, ENRU LIU 2 AND MARK CHAPMAN 2 1 Department of Trade and Industry, London, UK 2 British Geological
More informationP105 Particularities of Astrakhan Gas Field Deep Structure Resulting from Microseismic Sounding Technique Application
P105 Particularities of Astrakhan Gas Field Deep Structure Resulting from Microseismic Sounding Technique Application A.V. Gorbatikov* (Institute of Physics of the Earth, Rus.Acad.Sci.), M.Y. Stepanova
More informationReservoir Characterization using AVO and Seismic Inversion Techniques
P-205 Reservoir Characterization using AVO and Summary *Abhinav Kumar Dubey, IIT Kharagpur Reservoir characterization is one of the most important components of seismic data interpretation. Conventional
More informationPorosity prediction using cokriging with multiple secondary datasets
Cokriging with Multiple Attributes Porosity prediction using cokriging with multiple secondary datasets Hong Xu, Jian Sun, Brian Russell, Kris Innanen ABSTRACT The prediction of porosity is essential for
More informationMulticomponent seismic surveys at Sibbald Flats, Alberta
Multicomponent seismic surveys at Sibbald Flats, Alberta Robert R. Stewart and Don C. Lawton ABSTRACT We conducted a 3C seismic survey, using vibrators, over a 5 km line in the Sibbald Flats area some
More informationSouthWest Energy (HK) Ltd.
SouthWest Energy (HK) Ltd. Investor Presentation Cape Town October 2012 Why Are We Searching Oil in SWE Blocks? Similar geological g setting with Yemen s producing fields Oil seeps and oil show in the
More informationPetroleum Exploration
Petroleum Exploration Upstream Petroleum Exploration The role of exploration is to provide the information required to exploit the best opportunities presented in the choice of areas, and to manage research
More informationSummary. We present the results of the near-surface characterization for a 3D survey in thrust belt area in Sharjah, United Arab Emirates.
Near-surface characterization, challenges, and solutions for high-density, high-productivity, Alexander Zarkhidze*, Claudio Strobbia, Abdallah Ibrahim, WesternGeco; Luis Viertel Herrera, Abdulla Al Qadi,
More informationDownloaded 05/01/17 to Redistribution subject to SEG license or copyright; see Terms of Use at
Mapping Imbricate Structures in the Thrust Belt of Southeast Turkey by Large-Offset Seismic Survey Oz Yilmaz*, Anatolian Geophysical, Istanbul, Turkey; and Serdar Uygun, Ali Ölmez, and Emel Çalı, Turkish
More informationKurt Marfurt Arnaud Huck THE ADVANCED SEISMIC ATTRIBUTES ANALYSIS
The Society of Exploration Geophysicists and GeoNeurale announce Kurt Marfurt Arnaud Huck THE ADVANCED SEISMIC ATTRIBUTES ANALYSIS 3D Seismic Attributes for Prospect Identification and Reservoir Characterization
More informationShear wave statics in 3D-3C : An alternate approach
P-157 C. B. Yadava*, M Singh, Kuldeep Prakash, Kunal Niyogi GEOPIC, Oil & Natural Gas Corporation Ltd, Dehradun Summary 3D-3C data was acquired in Sayan-Tadkeshwar area of Cambay basin to bring out sand
More informationMapping of complex geology in Banskandi and north plunge of Teidukhan areas of Assam using high resolution 2D seismic survey
10 th Biennial International Conference & Exposition P 002 Summary Mapping of complex geology in Banskandi and north plunge of Teidukhan areas of Assam using high resolution 2D seismic survey H.N.Garg*
More informationRobust one-step (deconvolution + integration) seismic inversion in the frequency domain Ivan Priezzhev* and Aaron Scollard, Schlumberger
Robust one-step (deconvolution + integration) seismic inversion in the frequency domain Ivan Priezzhev and Aaron Scollard, Schlumberger Summary Seismic inversion requires two main operations relative to
More informationInstantaneous Spectral Analysis Applied to Reservoir Imaging and Producibility Characterization
Instantaneous Spectral Analysis Applied to Reservoir Imaging and Producibility Characterization Feng Shen 1* and Gary C. Robinson 1, Tao jiang 2 1 EP Tech, Centennial, CO, 80112, 2 PetroChina Oil Company,
More informationComparison of spectral decomposition methods
Comparison of spectral decomposition methods John P. Castagna, University of Houston, and Shengjie Sun, Fusion Geophysical discuss a number of different methods for spectral decomposition before suggesting
More informationUpper crust structure under CTBTO station «Petropavlovsk-Kamchatsky» by endogenic microseismic activity
Upper crust structure under CTBTO station «Petropavlovsk-Kamchatsky» by endogenic microseismic activity Chebrov V.N., Kugaenko Yu.A., Saltykov V.A. Geophysical Survey of Russia, Kamchatkan Branch, Petropavlovsk-Kamchatsky
More informationMulticomponent seismic survey at Spring Coulee: a data repeatability study
Multicomponent repeatability Multicomponent seismic survey at Spring Coulee: a data repeatability study Don Lawton, Peter Gagliardi, Malcolm Bertram, Hanxing Lu, Kevin Hall, Joanna Cooper, Eric Gallant,
More informationReservoir connectivity uncertainty from stochastic seismic inversion Rémi Moyen* and Philippe M. Doyen (CGGVeritas)
Rémi Moyen* and Philippe M. Doyen (CGGVeritas) Summary Static reservoir connectivity analysis is sometimes based on 3D facies or geobody models defined by combining well data and inverted seismic impedances.
More informationImproved Interpretability via Dual-sensor Towed Streamer 3D Seismic - A Case Study from East China Sea
Improved Interpretability via Dual-sensor Towed Streamer 3D Seismic - A Case Study from East China Sea S. Rongfu (CNOOC Shanghai), C. Hua (CNOOC Shanghai), W. Yun (CNOOC Shanghai), Z. Yabin (CNOOC Shanghai),
More informationDownloaded 09/16/16 to Redistribution subject to SEG license or copyright; see Terms of Use at
Data Using a Facies Based Bayesian Seismic Inversion, Forties Field, UKCS Kester Waters* (Ikon Science Ltd), Ana Somoza (Ikon Science Ltd), Grant Byerley (Apache Corp), Phil Rose (Apache UK) Summary The
More informationPre Stack Imaging To Delineate A New Hydrocarbon Play A Case History
5th Conference & Exposition on Petroleum Geophysics, Hyderabad-2004, India PP 375-379 Pre Stack Imaging To Delineate A New Hydrocarbon Play A Case History D. Srinivas, T.R. Murali Mohan, Ashwani Lamba,
More informationW041 Faults and Fracture Detection based on Seismic Surface Orthogonal Decomposition
W041 Faults and Fracture Detection based on Seismic Surface Orthogonal Decomposition I.I. Priezzhev (Schlumberger Information Solution) & A. Scollard* (Schlumberger Information Solution) SUMMARY A new
More informationSeismic Inversion on 3D Data of Bassein Field, India
5th Conference & Exposition on Petroleum Geophysics, Hyderabad-2004, India PP 526-532 Seismic Inversion on 3D Data of Bassein Field, India K.Sridhar, A.A.K.Sundaram, V.B.G.Tilak & Shyam Mohan Institute
More informationIntegrating rock physics and full elastic modeling for reservoir characterization Mosab Nasser and John B. Sinton*, Maersk Oil Houston Inc.
Integrating rock physics and full elastic modeling for reservoir characterization Mosab Nasser and John B. Sinton*, Maersk Oil Houston Inc. Summary Rock physics establishes the link between reservoir properties,
More informationCrosswell Seismic Imaging for Horizontal Drilling of the High Porosity Sand, Crystal Viking Pool, Alberta, Canada.
Page No. 084-1 Crosswell Seismic Imaging for Horizontal Drilling of the High Porosity Sand, Crystal Viking Pool, Alberta, Canada. Rena Michelle Hatch (Geophysicist, TomoSeis Inc. a division of Core Laboratories),
More informationTowed Streamer EM Integrated interpretation for accurate characterization of the sub-surface. PETEX, Tuesday 15th of November 2016
Towed Streamer EM Integrated interpretation for accurate characterization of the sub-surface. PETEX, Tuesday 15th of November 2016 Joshua May Sales and Marketing Manager Agenda Introduction to Towed Streamer
More informationstress direction are less stable during both drilling and production stages (Zhang et al., 2006). Summary
Inversion and attribute-assisted hydraulically-induced microseismic fracture prediction: A North Texas Barnett Shale case study Xavier E. Refunjol *, Katie M. Keranen, and Kurt J. Marfurt, The University
More informationOil and Natural Gas Corporation Ltd., VRC(Panvel), WOB, ONGC, Mumbai. 1
P-259 Summary Data for identification of Porosity Behaviour in Oligocene Lime Stone of D18 Area Of Western Offshore, India V.K. Baid*, P.H. Rao, P.S. Basak, Ravi Kant, V. Vairavan 1, K.M. Sundaram 1, ONGC
More informationApplications of finite-difference modelling to coalscale seismic exploration
Applications of finite-difference modelling to coalscale seismic exploration Shaun Strong 1,2, Troy Peters 1 1. Velseis Pty Ltd 2 University of Queensland Introduction Geological environments with significant
More informationObservation of shear-wave splitting from microseismicity induced by hydraulic fracturing: A non-vti story
Observation of shear-wave splitting from microseismicity induced by hydraulic fracturing: A non-vti story Petr Kolinsky 1, Leo Eisner 1, Vladimir Grechka 2, Dana Jurick 3, Peter Duncan 1 Summary Shear
More informationTh Guided Waves - Inversion and Attenuation
Th-01-08 Guided Waves - Inversion and Attenuation D. Boiero* (WesternGeco), C. Strobbia (WesternGeco), L. Velasco (WesternGeco) & P. Vermeer (WesternGeco) SUMMARY Guided waves contain significant information
More informationX040 Buried Sources and Receivers in a Karsted Desert Environment
X040 Buried Sources and Receivers in a Karsted Desert Environment C. Berron* (CGGVeritas Services S.A.), E. Forgues (CGGVeritas Services S. A.), M. Jervis (Saudi Aramco), A. Bakulin (Saudi Aramco) & R.
More informationLithology Evaluation of Bazhenov Formation Reservoir using Seismic and Well Log Analysis
Lithology Evaluation of Bazhenov Formation Reservoir using Seismic and Well Log Analysis N Y Lomakina Petroleum Learning Centre Tomsk Polytechnic University Tomsk, Russia Abstract Bazhenov formation is
More informationHorn River Converted Wave Processing Case Study
Horn River Converted Wave Processing Case Study Christian D. Ansorger Schlumberger Geosolutions, Calgary Summary Converted wave processing has come a long way in the last 15 years since the advent of the
More informationLithology prediction and fluid discrimination in Block A6 offshore Myanmar
10 th Biennial International Conference & Exposition P 141 Lithology prediction and fluid discrimination in Block A6 offshore Myanmar Hanumantha Rao. Y *, Loic Michel, Hampson-Russell, Kyaw Myint, Ko Ko,
More informationObjective Oriented Reprocessing of 3D data - A Case Study of Cambay Basin
10 th Biennial International Conference & Exposition P 223 Objective Oriented Reprocessing of 3D data - A Case Study of Cambay Basin Viswaja Devalla* S.K.Choudhary and M.S.Rawat Summary The 3D seismic
More informationDetection, Delineation and Characterization of Shallow Anomalies Using Dual Sensor Seismic and Towed Streamer EM data
Detection, Delineation and Characterization of Shallow Anomalies Using Dual Sensor Seismic and Towed Streamer EM data A.J. McKay* (Petroleum Geo-Services ASA), M. Widmaier (Petroleum Geo- Services ASA),
More informationThe role of seismic modeling in Reservoir characterization: A case study from Crestal part of South Mumbai High field
P-305 The role of seismic modeling in Reservoir characterization: A case study from Crestal part of South Mumbai High field Summary V B Singh*, Mahendra Pratap, ONGC The objective of the modeling was to
More informationTh P7 02 A Method to Suppress Salt-related Converted Wave Using 3D Acoustic Modelling
Th P7 0 A Method to Suppress Salt-related Converted Wave Using 3D Acoustic Modelling J. Kumar* (Petroleum Geo-Services), M. Salem (ENI E&P), D.E. Cegani (ENI E&P) Summary Converted waves can be recorded
More informationComparative Study of AVO attributes for Reservoir Facies Discrimination and Porosity Prediction
5th Conference & Exposition on Petroleum Geophysics, Hyderabad-004, India PP 498-50 Comparative Study of AVO attributes for Reservoir Facies Discrimination and Porosity Prediction Y. Hanumantha Rao & A.K.
More informationKMS Technologies KJT Enterprises Inc. Publication
KMS Technologies KJT Enterprises Inc. Publication Yu, G., Ma, Y., Zhu, X., Guo, T., Rebec, T. & Azbel, K. 2006 Reservoir characterization with high frequency bandwidth seismic data and coherence processing
More informationTheory. Summary. Introduction
Waveform similarity for quality control of event locations, time picking and moment tensor solutions Fernando Castellanos, University of Alberta. Edmonton, AB. Mirko van der Baan, University of Alberta.
More informationMITIGATE RISK, ENHANCE RECOVERY Seismically-Constrained Multivariate Analysis Optimizes Development, Increases EUR in Unconventional Plays
White Paper MITIGATE RISK, ENHANCE RECOVERY Seismically-Constrained Multivariate Analysis Optimizes Development, Increases EUR in Unconventional Plays SM Seismically-Constrained Multivariate Analysis Optimizes
More informationGeophysical and Geological Services for Oil & Gas Exploration and Development
Geophysical and Geological Services for Oil & Gas Exploration and Development Company Profile www.gww.uk.com v10 2 The Company Geodynamics Worldwide s.r.l. (GWW) is a private company with headquarters
More informationTime lapse view of the Blackfoot AVO anomaly
Time lapse view of the Blackfoot AVO anomaly Han-xing Lu, Gary F. Margrave and Colin C. Potter Time lapse view of the Blackfoot AVO SUMMARY In the Blackfoot field, southeast of Calgary there is an incised
More informationGeophysical model response in a shale gas
Geophysical model response in a shale gas Dhananjay Kumar and G. Michael Hoversten Chevron USA Inc. Abstract Shale gas is an important asset now. The production from unconventional reservoir like shale
More informationFour-D seismic monitoring: Blackfoot reservoir feasibility
Four-D seismic monitoring Four-D seismic monitoring: Blackfoot reservoir feasibility Laurence R. Bentley, John Zhang and Han-xing Lu ABSTRACT The Blackfoot reservoir has been analysed to determine the
More informationFred Mayer 1; Graham Cain 1; Carmen Dumitrescu 2; (1) Devon Canada; (2) Terra-IQ Ltd. Summary
2401377 Statistically Improved Resistivity and Density Estimation From Multicomponent Seismic Data: Case Study from the Lower Cretaceous McMurray Formation, Athabasca Oil Sands Fred Mayer 1; Graham Cain
More informationSeismic Attributes and Their Applications in Seismic Geomorphology
Academic article Seismic Attributes and Their Applications in Seismic Geomorphology Sanhasuk Koson, Piyaphong Chenrai* and Montri Choowong Department of Geology, Faculty of Science, Chulalongkorn University,
More informationRC 1.3. SEG/Houston 2005 Annual Meeting 1307
from seismic AVO Xin-Gong Li,University of Houston and IntSeis Inc, De-Hua Han, and Jiajin Liu, University of Houston Donn McGuire, Anadarko Petroleum Corp Summary A new inversion method is tested to directly
More informationIdentified a possible new offset location where the customer is currently exploring drill options.
GroundMetrics was hired to conduct a Full-Field Resistivity Survey for an oil and gas producer that needed to make crucial decisions to drive profitability at the location. The results saved them hundreds
More informationImproved Imaging through Refraction Statics in a Sand Dune Area: A Case Study.
P - 340 Improved Imaging through Refraction Statics in a Sand Dune Area: A Case Study. B.N. Roy*, Vikas Chandra, S.S. Singh, G.S.Ramakishna, & Randeep Guha, ONGC, Vadodara, bhupenr2000@yahoo.co.in Summary
More informationRock Physics and Quantitative Wavelet Estimation. for Seismic Interpretation: Tertiary North Sea. R.W.Simm 1, S.Xu 2 and R.E.
Rock Physics and Quantitative Wavelet Estimation for Seismic Interpretation: Tertiary North Sea R.W.Simm 1, S.Xu 2 and R.E.White 2 1. Enterprise Oil plc, Grand Buildings, Trafalgar Square, London WC2N
More informationWavelet analysis identifies geology in seismic
Wavelet analysis identifies geology in seismic Geologic lithofacies can be quantitatively identified by the wavelet decomposition of the seismic reflection. That is, the reservoir risk can be mitigated
More informationCross-well seismic modelling for coal seam delineation
P-134 Sanjeev Rajput, CSIRO, P. Prasada Rao*, N. K. Thakur, NGRI Summary Finite-difference analyses is attempted to simulate a multi layered complex coal seam model in order to differentiate top and bottom
More informationBest practices predicting unconventional reservoir quality
Introduction Best practices predicting unconventional reservoir quality Cristian Malaver, Michel Kemper, and Jorg Herwanger 1 Unconventional reservoirs have proven challenging for quantitative interpretation
More informationKurt Marfurt Arnaud Huck THE ADVANCED SEISMIC ATTRIBUTES ANALYSIS
The Society of Exploration Geophysicists and GeoNeurale announce Kurt Marfurt Arnaud Huck THE ADVANCED SEISMIC ATTRIBUTES ANALYSIS 3D Seismic Attributes for Prospect Identification and Reservoir Characterization
More information