lecture_1
TRANSCRIPT
![Page 1: Lecture_1](https://reader031.vdocument.in/reader031/viewer/2022030312/577ccd0c1a28ab9e788b5b02/html5/thumbnails/1.jpg)
Petroleum Sedimentology EASC (30024)
Lecture 1: Generating seismic sections Lecture 2: Interpreting seismic sections Lecture 3: Borehole logging Lecture 4: The future of the ‘oil’ industry
James Verdon
![Page 2: Lecture_1](https://reader031.vdocument.in/reader031/viewer/2022030312/577ccd0c1a28ab9e788b5b02/html5/thumbnails/2.jpg)
Housekeeping
Timetable: Mon 11.11: Lecture 1: Generating seismic sections Tue 12.11: Practical 1: Seismic sections Wed 13.11: Lecture 2: Interpreting seismic sections Mon 2.12: Lecture 3: Borehole logging Tue 3.12: Practical 2: Borehole logging Wed 4.12: Lecture 4: The future of the oil/gas industry
Recommended Reading: Kearey, Brooks, Hill: An introduction to geophysical exploration.
Course Materials: Can be found at www1.gly.bris.ac.uk/~JamesVerdon/teaching.shtml. Maybe also on Blackboard……
![Page 3: Lecture_1](https://reader031.vdocument.in/reader031/viewer/2022030312/577ccd0c1a28ab9e788b5b02/html5/thumbnails/3.jpg)
The Tools of Subsurface Analysis
To understand our reservoirs, we must be able to image:
• Where the oil is
• The geometry of target reservoirs
• The lithologies of target reservoirs
There are two main geophysical methods that we can use:
• Seismic reflection images (seismic sections)
• Borehole logs
![Page 4: Lecture_1](https://reader031.vdocument.in/reader031/viewer/2022030312/577ccd0c1a28ab9e788b5b02/html5/thumbnails/4.jpg)
![Page 5: Lecture_1](https://reader031.vdocument.in/reader031/viewer/2022030312/577ccd0c1a28ab9e788b5b02/html5/thumbnails/5.jpg)
![Page 6: Lecture_1](https://reader031.vdocument.in/reader031/viewer/2022030312/577ccd0c1a28ab9e788b5b02/html5/thumbnails/6.jpg)
Principals of Seismic Acquisition
![Page 7: Lecture_1](https://reader031.vdocument.in/reader031/viewer/2022030312/577ccd0c1a28ab9e788b5b02/html5/thumbnails/7.jpg)
Acquisition on Land and at Sea
![Page 8: Lecture_1](https://reader031.vdocument.in/reader031/viewer/2022030312/577ccd0c1a28ab9e788b5b02/html5/thumbnails/8.jpg)
• At every impedance boundary, energy is partitioned into reflection and transmitted parts.
• Impedance = Velocity x density Z = Vρ
• Reflection coefficient:
�
R =Z2 − Z1Z2 + Z1
![Page 9: Lecture_1](https://reader031.vdocument.in/reader031/viewer/2022030312/577ccd0c1a28ab9e788b5b02/html5/thumbnails/9.jpg)
convolution
Depth domain: Time domain:
ρV
![Page 10: Lecture_1](https://reader031.vdocument.in/reader031/viewer/2022030312/577ccd0c1a28ab9e788b5b02/html5/thumbnails/10.jpg)
• The seismic trace: convolution of reflection coefficients with the induced wavelet. • Many seismic traces make up a seismic section.
* =
![Page 11: Lecture_1](https://reader031.vdocument.in/reader031/viewer/2022030312/577ccd0c1a28ab9e788b5b02/html5/thumbnails/11.jpg)
Seismic Processing
![Page 12: Lecture_1](https://reader031.vdocument.in/reader031/viewer/2022030312/577ccd0c1a28ab9e788b5b02/html5/thumbnails/12.jpg)
Split-spread shooting
On-end shooting
![Page 13: Lecture_1](https://reader031.vdocument.in/reader031/viewer/2022030312/577ccd0c1a28ab9e788b5b02/html5/thumbnails/13.jpg)
![Page 14: Lecture_1](https://reader031.vdocument.in/reader031/viewer/2022030312/577ccd0c1a28ab9e788b5b02/html5/thumbnails/14.jpg)
![Page 15: Lecture_1](https://reader031.vdocument.in/reader031/viewer/2022030312/577ccd0c1a28ab9e788b5b02/html5/thumbnails/15.jpg)
![Page 16: Lecture_1](https://reader031.vdocument.in/reader031/viewer/2022030312/577ccd0c1a28ab9e788b5b02/html5/thumbnails/16.jpg)
Stacking
![Page 17: Lecture_1](https://reader031.vdocument.in/reader031/viewer/2022030312/577ccd0c1a28ab9e788b5b02/html5/thumbnails/17.jpg)
NMO and Stacking • Traveltimes in a CMP gather obey normal moveout (NMO) equation
(horizontal layers).
h
x
t(x) = SVRMS
= (2h)2 + x2
VRMSt0 = 2h /VRMS
t(x) = t02 + x2
VRMS2
VRMS =vi2τ i
i=1
n
∑
τ ii=1
n
∑
⎡
⎣
⎢⎢⎢⎢
⎤
⎦
⎥⎥⎥⎥
1/2
t0
![Page 18: Lecture_1](https://reader031.vdocument.in/reader031/viewer/2022030312/577ccd0c1a28ab9e788b5b02/html5/thumbnails/18.jpg)
NMO and Stacking • Traveltimes in a CMP gather obey normal moveout (NMO) equation
(horizontal layers).
t(x) = t02 + x2
VRMS2
![Page 19: Lecture_1](https://reader031.vdocument.in/reader031/viewer/2022030312/577ccd0c1a28ab9e788b5b02/html5/thumbnails/19.jpg)
NMO and Stacking • By computing NMO velocity, we can shift the traces so that the peaks
are aligned.
�
t(x) = t02 +
x 2
VRMS2
dt = t(x) − t0
![Page 20: Lecture_1](https://reader031.vdocument.in/reader031/viewer/2022030312/577ccd0c1a28ab9e788b5b02/html5/thumbnails/20.jpg)
NMO and Stacking • By adding the traces together, signal will be reinforced while noise will cancel
out. This increases the strength of the signal (known as ‘brute stacking’).
![Page 21: Lecture_1](https://reader031.vdocument.in/reader031/viewer/2022030312/577ccd0c1a28ab9e788b5b02/html5/thumbnails/21.jpg)
NMO and Stacking • By adding the traces together, signal will be reinforced while noise will cancel
out. This increases the strength of the signal (known as ‘brute stacking’).
![Page 22: Lecture_1](https://reader031.vdocument.in/reader031/viewer/2022030312/577ccd0c1a28ab9e788b5b02/html5/thumbnails/22.jpg)
We are interested in direct reflections from relatively flat layers. However, energy can arrive at the geophones that has come from unwanted sources:
• Multiple reflections from high-reflectivity boundaries
• Diffraction from point-scatterers (such as high-angle faults)
• Artifacts can also be generated by dipping layers
The purpose of migration is to remove unwanted artifacts ,and to move reflected energy to it’s correct location.
![Page 23: Lecture_1](https://reader031.vdocument.in/reader031/viewer/2022030312/577ccd0c1a28ab9e788b5b02/html5/thumbnails/23.jpg)
• Scattering of energy
![Page 24: Lecture_1](https://reader031.vdocument.in/reader031/viewer/2022030312/577ccd0c1a28ab9e788b5b02/html5/thumbnails/24.jpg)
• Scattering of energy
![Page 25: Lecture_1](https://reader031.vdocument.in/reader031/viewer/2022030312/577ccd0c1a28ab9e788b5b02/html5/thumbnails/25.jpg)
Migration of a dipping reflector:
• Because reflected energy does not emerge vertically, dips are underestimated
tan dapp = sin d
![Page 26: Lecture_1](https://reader031.vdocument.in/reader031/viewer/2022030312/577ccd0c1a28ab9e788b5b02/html5/thumbnails/26.jpg)
• Migration of a dipping reflector:
![Page 27: Lecture_1](https://reader031.vdocument.in/reader031/viewer/2022030312/577ccd0c1a28ab9e788b5b02/html5/thumbnails/27.jpg)
• Migration of a dipping reflector:
![Page 28: Lecture_1](https://reader031.vdocument.in/reader031/viewer/2022030312/577ccd0c1a28ab9e788b5b02/html5/thumbnails/28.jpg)
Multiple reflections from highly-reflecting layers, especially the sea-bed
![Page 29: Lecture_1](https://reader031.vdocument.in/reader031/viewer/2022030312/577ccd0c1a28ab9e788b5b02/html5/thumbnails/29.jpg)
![Page 30: Lecture_1](https://reader031.vdocument.in/reader031/viewer/2022030312/577ccd0c1a28ab9e788b5b02/html5/thumbnails/30.jpg)
x =
÷ =
• The observed trace is a result of convolution between the induced wave and subsurface traces.
• We deconvolve to turn our observed traces into something resembling the reflections.
• A sensor near to the shot point provides information to estimate a waveform for deconvolution.
![Page 31: Lecture_1](https://reader031.vdocument.in/reader031/viewer/2022030312/577ccd0c1a28ab9e788b5b02/html5/thumbnails/31.jpg)
x =
Deconvolution is particularly necessary for ‘ringy’ signals
![Page 32: Lecture_1](https://reader031.vdocument.in/reader031/viewer/2022030312/577ccd0c1a28ab9e788b5b02/html5/thumbnails/32.jpg)
• The observed trace is a result of convolution between the induced wave and subsurface reflection profile
• We deconvolve to turn our observed traces into something resembling the reflection profile.
• A sensor near to the shot point provides information to estimate a waveform for deconvolution.
![Page 33: Lecture_1](https://reader031.vdocument.in/reader031/viewer/2022030312/577ccd0c1a28ab9e788b5b02/html5/thumbnails/33.jpg)
• The final waveforms from each CMP gather, after NMO removal and stacking, after migration, after deconvolution, are plotted alongside each other in space, allowing us to see how reflectors have moved up or down along the section.
![Page 34: Lecture_1](https://reader031.vdocument.in/reader031/viewer/2022030312/577ccd0c1a28ab9e788b5b02/html5/thumbnails/34.jpg)
Seismic Resolution What size of features can we image with seismic waves?
• Vertical resolution • Horizontal resolution • The Earth is a low-pass filter - loose resolution with depth
![Page 35: Lecture_1](https://reader031.vdocument.in/reader031/viewer/2022030312/577ccd0c1a28ab9e788b5b02/html5/thumbnails/35.jpg)
Horizontal Seismic Resolution: Fresnel Zone
If ray-paths are less than ½ wavelength different, constructive interference occurs
![Page 36: Lecture_1](https://reader031.vdocument.in/reader031/viewer/2022030312/577ccd0c1a28ab9e788b5b02/html5/thumbnails/36.jpg)
h+λ/4 h
w
h2 + (w / 2)2 = (h + λ / 4)2
w2 / 4 = (h2 + hλ / 2 + λ 2 /16)− h2,w2 / 4 = hλ / 2 + λ 2 /16w2 = 2hλ + λ 2 / 4
w = 2hλ , λ 2 / 4 << 2λhv = fλ
w = 2hv / f
Horizontal Seismic Resolution: Fresnel Zone
![Page 37: Lecture_1](https://reader031.vdocument.in/reader031/viewer/2022030312/577ccd0c1a28ab9e788b5b02/html5/thumbnails/37.jpg)
Vertical Seismic Resolution - Tuning • Closely-spaced reflections will interfere, increasing or reducing amplitudes, and sometimes
making it impossible to identify two separate beds
![Page 38: Lecture_1](https://reader031.vdocument.in/reader031/viewer/2022030312/577ccd0c1a28ab9e788b5b02/html5/thumbnails/38.jpg)
Vertical Seismic Resolution - Tuning • Tuning thickness ≈ λ/4 ≈ V/4f • Below the tuning thickness, individual beds will not be resolved • If reflection polarities are opposite:
- Below tuning thickness, no reflection occurs, - At tuning thickness, reflection becomes maximum
![Page 39: Lecture_1](https://reader031.vdocument.in/reader031/viewer/2022030312/577ccd0c1a28ab9e788b5b02/html5/thumbnails/39.jpg)
Vertical Seismic Resolution - Tuning • Tuning thickness ≈ λ/4 ≈ V/4f • Below the tuning thickness, individual beds will not be resolved • If reflection polarities are the same:
- Below tuning thickness, reflection is maximum, - At tuning thickness, reflection is reduced
![Page 40: Lecture_1](https://reader031.vdocument.in/reader031/viewer/2022030312/577ccd0c1a28ab9e788b5b02/html5/thumbnails/40.jpg)
Vertical Seismic Resolution - Tuning
![Page 41: Lecture_1](https://reader031.vdocument.in/reader031/viewer/2022030312/577ccd0c1a28ab9e788b5b02/html5/thumbnails/41.jpg)
Summary • Seismic sections are used to image the distribution of sediments in the subsurface
![Page 42: Lecture_1](https://reader031.vdocument.in/reader031/viewer/2022030312/577ccd0c1a28ab9e788b5b02/html5/thumbnails/42.jpg)
Summary • Seismic sections are used to image the distribution of sediments in the subsurface
• The seismic processing workflow:
![Page 43: Lecture_1](https://reader031.vdocument.in/reader031/viewer/2022030312/577ccd0c1a28ab9e788b5b02/html5/thumbnails/43.jpg)
Summary • Seismic sections are used to image the distribution of sediments in the subsurface
• The seismic processing workflow
• Resolution issues: