Download The ‘stacking velocity function’ for time-depth conversion exercise!
Right click on the link and Save the link as Velocity_functions.txt
|Coordinates:||N 54°52′0.86″ / E 4°48′47.07 view in Google Earth|
|Data Summary||3D Seismic Data, Acoustic Impedance, Wells, Horizons|
|Size:||11 GB (uncompressed), 5.9 GB (download)|
|Company:||dGB Earth Sciences B.V.|
F3 Demo Tutorial Exercises
This Self-Study course in an excellent introduction to all aspects of OpendTect and Plugins. The exercises in the manual are specifically written for the F3 demo survey.
View Training manual (HTML)
Download Training manual (PDF)
Seismic Sequence Stratigraphy, Channels, Sandwaves, Glacial plowmarks, Surface expressions, Pockmarks, Shalow biogenic gas, Gas Chimneys, Bright spots, Flat spot, Faults, Dewatering Faults, Zechstein Salt dome
- Spectral Decomposition
- Neural Networks
- Spectral Blueing
- Coloured Inversion
Full survey Description
F3 is a block in the Dutch sector of the North Sea. The block is covered by 3D seismic that was acquired to explore for oil and gas in the Upper-Jurassic – Lower Cretaceous strata, which are found below the interval selected for this demo set.
The upper 1200ms of the demo set consists of reflectors belonging to the Miocene, Pliocene, and Pleistocene. The large-scale sigmoidal bedding is readily apparent, and consists of the
deposits of a large fluviodeltaic system that drained large parts of the Baltic Sea region
(Sørensen et al, 1997; Overeem et al, 2001).
The deltaic package consists of sand and shale, with an overall high porosity (20–33%). Some carbonate-cemented streaks are present. A number of interesting features can be observed in this package. The most striking feature is the large-scale sigmoidal bedding, with text-book quality downlap, toplap, onlap, and truncation structures.
Bright spots are also clearly visible, and are caused by biogenic gas pockets. They are not uncommon in this part of the North Sea. Several seismic facies can be distinguished: transparent, chaotic, linear, shingles. Well logs show the transparent facies to consist of a rather uniform lithology, which can be either sand or shale. The chaotic facies likely represents slumped deposits. The shingles at the base of the clinoforms have been shown to consist of sandy turbidites.
The original F3 dataset is rather noisy. To remove the noise, a dip-steered median filter with a radius of two traces was applied to the data. Within the survey, four vertical wells are present. All wells had sonic and gamma ray logs. Only two wells (F2–1 and F3–2) had density logs. These logs were used to train a neural network that was then applied to the other two wells (F3–4 and F6–1) to predict density from sonic and gamma-ray logs. Porosity in all cases was calculated from density using the formula: Porosity = (2.65 – Density) / (2.65 – 1.05).
|Inline Range||100||750||step 1|
|Crossline Range||300||1250||step 1|
|Bin size (m) [inl/xl]||25||25|
|Z Range (ms)||0||1848||step 4|
|Size (km)||24 x 16|
- 10 Thinned Fault Likelihood
- Demo0 (FS4)
- Demo1 (MFS4)
- Demo2 (FS6)
- Demo3 (Top_Foresets)
- Demo4 (Truncation)
- Demo5 (FS7)
- Demo6 (FS8)
- Demo7 (Shallow)
Wells and available logs
- F02–1 (Caliper, Density, GR, P-Wave, Porosity)
- F03–2 (Density, GR, P-Wave, Porosity)
- F03–4 (Density, GR, P-Wave, Porosity)
- F06–1 (Density, GR, P-Wave, Porosity)
- More Well Info
De Bruin, G. & Bouanga, E.C. , 2007,Time Attributes of Stratigraphic Surfaces, Analyzed in the Structural and Wheeler Transformed Domain, 69th EAGE Conference & Exhibition, June 2007, London Download PDF
Overeem, I, G. J. Weltje, C. Bishop-Kay, and S. B. Kroonenberg, 2001 The Late Cenozoic Eridanos delta system in the Southern North Sea Basin: a climate signal in sediment supply? Basin Research, 13, 293–312.
Schroot, B.M. and Schüttenhelm, R.T.E., 2003, Expression of shallow gas in the Netherlands North Sea, Netherlands Journal of Geosciences / Geologie en Mijnbouw 82 (1): 91–105 Download PDF
Sørensen, J.C., Gregersen, U, Breiner, M and Michelsen, O., 1997, High frequency sequence stratigraphy of upper Cenozoic deposits. Mar. Petrol. Geol., 14, 99–123.
Qayyum, F. and Akhter, G., 2008, Logical Expressions a basic tool in reservoir characterization, Oil&Gas Journal Volume 106.41, p33–42 Download PDF
Aminzadeh, F., and De Groot, P., “Neural networks and other soft computing techniques with applications in the oil industry,” EAGE Book Series, 2006.