Powered by OpenAIRE graph
Found an issue? Give us feedback
addClaim

Petrophysical Models and Techniques for Shaly-Sand Formation Evaluation

Authors: Saleh B. AlRuwaili; Hilal H. AlWaheed;

Petrophysical Models and Techniques for Shaly-Sand Formation Evaluation

Abstract

Abstract Conventional petrophysical models, e.g. using neutron-density cross-plot for lithology and porosity and Archie's equation for water-saturation, can be adequate for evaluating clean sands, which have null or minimal shale and clay. Moreover, routine core analysis can be enough for validating log-analysis results in clean sands. On the other hand, shaly-sand formations have shale and clay present in them and the above standard petrophysical techniques are not adequate for the accurate evaluation of shaly-sand formations. Porosity logs, e.g. neutron, density and sonic, and saturation logs, e.g. deep-resistivity, are affected by clay presence in shaly sands. Such effects need to be modeled and incorporated in the log analysis in order to obtain more accurate formation evaluation of shaly sands. Some of the hydrocarbon-bearing formations in Saudi Arabia have shaly sands. Soft and hard data was acquired to help evaluate and describe the storage and flow capacities of these formations for optimal production developments. Density, neutron, sonic, resistivity and gamma-ray logs were routinely acquired in wells drilled in these formations. Logs like Elemental-Capture-Spectroscopy (ECS) and Nuclear-Magnetic-Resonance (NMR) were acquired in key wells. In these shaly formations, some wells were cored and core analyses were conducted to obtain formation porosity, electrical properties and clay attributes like clay-type and clay-abundance. The above soft and hard data acquired has helped in developing and applying more reliable petrophysical models and techniques in shaly sands formation evaluation. This paper will present and discuss methods and modeling techniques for evaluating shaly sands. Applications of these techniques in some shaly formations in Saudi Arabia are included in this paper.

Related Organizations
  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    2
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!