1887

Abstract

Summary

Differentiated seal calibration models of faulted multi-pay oil and gas fields, explaining reservoir fluid fill type in each faulted reservoir, provide a high-resolution quantitative calibration base to explain then predict the industry critical issue of the locations and column heights of fault trapped hydrocarbons. Field calibration models differentiate between working and failed fault seals (matrix and fracture properties) within a fields geologic and stress settings. The models allow testing of seal effectiveness in foot and hanging wall host rock, damage zone and fault core rocks. The calibration objective is to find a ‘best fit’ calibration model and sealing/leaking mechanism that best matches with the observed distribution of water sands, hydrocarbon sands and hydrocarbon column heights. Calibration modelling is conducted to be consistent with the characteristics of fault models as described by Caine et al., 1996 and others. In this method, no prior assumption is made as to the mechanisms of seal success or failure. Success and failure mechanisms vary with different settings and can only be inferred once a best fit model is defined. Calibrated field models are then used as the basis for forward modelling of, in field, exploration targets and for constraining fault zone fluid flow characteristics.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.201902280
2019-09-08
2024-03-29
Loading full text...

Full text loading...

References

  1. Caine, J. S., Evans, J. P. and Forster, C. B.
    (1996) Fault zone architecture and permeability structure. Geology24, 1025–1028.
    [Google Scholar]
  2. Downey, M. D.
    (1984). Evaluating fault seals for hydrocarbon accumulations. AAPG Bulletin68 (11), 1752–1763.
    [Google Scholar]
  3. Rudolph, K. W. and Goulding, F. J.
    (2017). Benchmarking exploration predictions and performance using 20+ yr of drilling results: One company’s experience. AAPG Bulletin101 (2), 161–176.
    [Google Scholar]
  4. Shaw, J. H.
    (2018). https://canvas.harvard.edu/flles/EPS203_L5_FaultZoneGeo_5.ppt
  5. Sperrevik, S., Gillespie, P.A., Fisher, Q. J., Halverson, T. and Knipe, R. J.
    (2002), Empirical estimation of fault rock properties, in: A.G.Koestler, and R.Hunsdale, (eds), Hydrocarbon Seal Quantification: NPF Special Publication 11, Elsevier, Amsterdam, 09–125.
    [Google Scholar]
  6. Yielding, G., Freeman, B., and Needham, D. T.
    (1997), Quantitative fault seal prediction: AAPG Bulletin81, 897–917.
    [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201902280
Loading
/content/papers/10.3997/2214-4609.201902280
Loading

Data & Media loading...

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error