Marine time domain CSEM Growth of and Old/New Technology

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1 KMS Technologies KJT Enterprises Inc. An EMGS/RXT company Marine time domain CSEM Growth of and Old/New Technology Allegar, N., Strack, K.-M., Mittet, R., Petrov, A., and Thomsen, L. EAGE Rome 2008 Annual Meeting

2 KMS Technologies EMGS booth title: Marine time domain CSEM Growth of an Old/New Technology Norm Allegar 1, Kurt M. Strack 1, Rune Mittet 2, Alex Petrov 3, Leon Thomsen 1 1 KMS Technologies, 2 EMGS, 3 Soliton/EMMET 2008 KMS Technologies An EMGS / RXT company

3 KMS Technologies Session Title: Marine time domain CSEM The first two years of experience Allegar 1, N., Strack 1, K.M., Mittet 2, R., & Petrov 3, A. 1 KMS Technologies, 2 EMGS, 3 Soliton/EMMET 2008 KMS Technologies An EMGS / RXT company

4 Objective Overview of 6 years of marine time domain EM Development and introduction of tcsem

5 Outline Early development of land time domain EM Understanding marine tcsem Data examples Conclusions & way forward

6 Early development land time domain EM 1990 Teamex multi-channel patent spawned future systems late 1980 s Australia & EU funded monitoring project TU Delft & U. Edinburgh Mid to late 1980 s electric field integrated in Australia/Germany Early 1980 s CSM, Group Seven, IGS, Inc 1960 s initial work in Russia After Strack 1992

7 Long Offset Transient EM (LOTEM) Tx square wave current induces currents in Earth, penetration increases with time; Magnetic & electrical fields induced in the subsurface Strack, 1992 & 1999 Rx measures both magnetic & electrical fields, while source is off.

8 2002: predicting the time domain response Depth of target varied: Electric fields (E x ) 1 km depth 2 km 3 km 4 km Signals in time domain will be 10 s of seconds long, depending upon subsurface resistivity Target depth (km)

9 2002: predicting the time domain response Depth of target varied: Magnetic fields (B y ) 4 km 3 km 2 km 1 km depth Signals in time domain will be 10 s of seconds long, depending upon subsurface resistivity Target depth (km)

10 Comparing LOTEM to marine time domain data Recorded LOTEM data (B y ) Recorded marine CSEM data (B y ) NOISE Time (sec) Measured signal = True signal + Natural noise Significantly less noise in marine environment

11 Outline Early development of land time domain EM Understanding marine tcsem Data examples Conclusions & way forward

12 Marine time domain CSEM acquisition air wave ocean wave target wave sediment wave Long time between cycles; subsurface balances Base figure From

13 Time domain CSEM wave concept At low frequencies, Maxwell s 2 nd - order equation reduces to the diffusion equation. The solution can be expressed as a set of highly damped, highly dispersive waves, with velocity of energy similar to seismic refraction velocity (Amundsen, Ellingsrud, Mittet, 2006) (By contrast, the seismic wave equation has solutions that can be expressed as a set of weakly damped, weakly dispersive waves.)

14 Time domain CSEM wave concept (2) Much of the same mathematics applies in both contexts Arrows in the cartoon should be understood as the (real parts of) wave-vectors, not as ray-vectors. Snell s law implies that refraction occurs at resistive layers (Eidesmo et al., 2002, Weidelt, 2007

15 Impulse response E x -inline Tx Rx Sea depth varied T x -R x both variable depths in water half-space, 1000 m offset Clear time separation air wave ocean wave

16 Wave concept with seismic style displays With time domain CSEM we collect transients at multiple offsets Increasing offset between source and receiver Increasing diffusion time of transient

17 Ocean-only wave (0.33 Ωm) Each trace normalized 0.33 Ωm 10,000 m Low resistivity slow diffusion velocity greater move-out Source & receiver

18 Ocean & air waves Air wave 0.33 Ωm 100 m 0.33 Ωm Source & receiver Ocean wave decays faster with offset than air wave

19 Sediment-only wave (1 Ωm) 1 Ωm 10,000 m Compared to ocean wave, sediment wave attenuates less & arrives earlier Source & receiver

20 Ocean, air & sediment waves Air wave 0.33 Ωm 100m 1 Ωm Source & receiver Ocean wave & sediment wave

21 Ocean, air, sediment, & target waves Air wave 0.33 Ωm 100m 1 Ωm 1500m 100 Ωm 100m At far offset - target wave can arrive separate from ocean and sediment waves 1 Ωm

22 100 Ωm target-only response 0.33 Ωm 100m 1 Ωm 1500m 100 Ωm 100m High resistivity contrast generates refraction-like energy propagation Allegar et al., Ωm

23 Outline Early development of land time domain EM Understanding marine tcsem Data examples Conclusions & way forward

24 KMS/EMGS marine time domain surveys 2006, Egypt commercial 2006, Caspian Sea DOE funded 2007, Gulf of Mexico (2) commercial 2008, North Sea commercial

25 Time domain CSEM collected with commercial nodal acquisition system Images courtesy of EMGS Transmitter Long listen-time Receiver E Receiver H Time

26 Data processing: general flow Header editing Coordinate checkup Directory structure checkup Source parameter input Data input Rx orientation input Time markers checkup and editing DC leveling (whole record) DC leveling checkup Rotation in max. and min. direction Pre-stack processing Quick stack Quick stack checkup Optimized stacking (optional) DC leveling (whole record) DC leveling checkup Rotation in max. and min. direction Post-stack processing SEG-Y files Export data for interpretation (apparent resistivity conversion) Interpretation

27 Data processing: rotation Before rotation (Ex,Ey,Hx,Hy) After rotation (EI,EC,HI,HC)

28 Data processing: smoothing Smoothing of transients where necessary: Before smoothing After smoothing Trigger time or T 0 Trigger time or T 0

29 Data processing: stacking (horizontal) Pre-stack Post-stack

30 Interpretation: inversion 1.52 % Occam s inversion: 1.47% Transient Starting models Inversion of data Locate resistors Identify hydrocarbons Testing inversion robustness

31 Outline Early development of land time domain EM Understanding marine tcsem Data examples Conclusions & way forward

32 Conclusions & way forward High quality marine transient CSEM has been successfully collected The data matches theoretical anticipations Transient CSEM data offers a complementary solution to the shallow water CSEM problem Seismic style processing may hold promise for isolating the target wave Research is continuing aggressively.

33 Acknowledgements We would like to thank EMGS & KMS Technologies for permission to show these results By the time that you get home, this presentation will be posted on

34 KMS Technologies KJT Enterprises Inc. An EMGS/RXT company 6420 Richmond Ave., Suite 610 Houston, Texas 77057, USA Tel: Fax:

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