lecture_1

43
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

Upload: weeds95

Post on 01-May-2017

214 views

Category:

Documents


2 download

TRANSCRIPT

Page 1: Lecture_1

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

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

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
Page 5: Lecture_1
Page 6: Lecture_1

Principals of Seismic Acquisition

Page 7: Lecture_1

Acquisition on Land and at Sea

Page 8: Lecture_1

•  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

convolution

Depth domain: Time domain:

ρV

Page 10: Lecture_1

•  The seismic trace: convolution of reflection coefficients with the induced wavelet. •  Many seismic traces make up a seismic section.

* =

Page 11: Lecture_1

Seismic Processing

Page 12: Lecture_1

Split-spread shooting

On-end shooting

Page 13: Lecture_1
Page 14: Lecture_1
Page 15: Lecture_1
Page 16: Lecture_1

Stacking

Page 17: Lecture_1

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

NMO and Stacking •  Traveltimes in a CMP gather obey normal moveout (NMO) equation

(horizontal layers).

t(x) = t02 + x2

VRMS2

Page 19: Lecture_1

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

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

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

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

•  Scattering of energy

Page 24: Lecture_1

•  Scattering of energy

Page 25: Lecture_1

Migration of a dipping reflector:

•  Because reflected energy does not emerge vertically, dips are underestimated

tan dapp = sin d

Page 26: Lecture_1

•  Migration of a dipping reflector:

Page 27: Lecture_1

•  Migration of a dipping reflector:

Page 28: Lecture_1

Multiple reflections from highly-reflecting layers, especially the sea-bed

Page 29: Lecture_1
Page 30: Lecture_1

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

x =

Deconvolution is particularly necessary for ‘ringy’ signals

Page 32: Lecture_1

•  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

•  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

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

Horizontal Seismic Resolution: Fresnel Zone

If ray-paths are less than ½ wavelength different, constructive interference occurs

Page 36: Lecture_1

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

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

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

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

Vertical Seismic Resolution - Tuning

Page 41: Lecture_1

Summary •  Seismic sections are used to image the distribution of sediments in the subsurface

Page 42: Lecture_1

Summary •  Seismic sections are used to image the distribution of sediments in the subsurface

•  The seismic processing workflow:

Page 43: Lecture_1

Summary •  Seismic sections are used to image the distribution of sediments in the subsurface

•  The seismic processing workflow

•  Resolution issues: