The results obtained using the shaly sand evaluation techniques, were in good agreement with core and other data. Consequently, the methods and techniques in the shaly sand models can be used to improve petrophysical evaluation of shaly sand reservoirs.
Formation evaluation from well logs in laminated shaly sands has often suffered from lack of proper models, and in many cases led to underestimation of oil or gas in place.
In this study, the Shaly- sands were lineated using wireline logs of three wells (Well A, Well B and Well C). The Thomas-Steiber model (1975) was used to interpret the shale distributions and their effects on total porosity. In well A, Water saturations were calculated by Archie’s method and Waxman-Smits models of Shaly-sand.
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The physical model for a laminated shaly sand compared to a clean sand and conventional shaly sands. The high conductivity of the shale lamination (black shading) strongly influences the net conductivity measured by resistivity tools. A similar problem exists in laminated porosity.
A wide variety of procedures are currently in routine use for the evaluation of shaly sands. Each of these can furnish a significantly different reservoir evaluation. Yet, no one method predominates within the industry. As a means of investigating th.
Shaly Sand Tutorial No. 2 of 3 Thomas, E. C., Bayou Petrophysics 2018-V59N2T1 SPWLA Journal Paper - 2018.
The intent of this publication is to provide the reader with a simplified review of shaly sand well log analysis. Because of the important effects that shale or clay have on both reservoir quality and well log response, a working knowledge of the subject provides a necessary basis for accurate log analysis.
On the Application of Simandoux and Indonesian Shaly Sand Resistivity Interpretation Models in Low and High Rw Regimes K.C. Hari Kumar, ONGC Summary Present paper is a re-look at the oil industry practices in making use of the Simandoux and Indonesian shaly sand resistivity interpretation models for formation evaluation.
PETROPHYSICAL EVALUATION OF LOW RESISTIVITY SANDSTONE RESERVOIRS. This paper deals with the case of shaly sand formation as a low resistivity pay zone. Different shaly sand models will be applied. It has been found that the modified total shale. for the evaluation. This model was modified to include a, n and m constants. The Humble.
This study presents an integrated petrophysical evaluation for Nahr Umr reservoir by highlighting a practical trustworthy approach petrophysical model for Nahr Umr reservoir in Subba oil field depending on available data. The available data include.
The role of clays and shales in low resistivity log response Clay has been identified as a leading cause of low-resistivity pays.. The extent to which log evaluation and the resulting estimation of S w is affected by clay or shale will depend on the type and. thus enabling shaly sand equations that require a shale resistivity value to be.
EVALUATION OF THE HYDROCARBON POTENTIAL IN LOW-SALINITY SHALY SAND A Thesis Submitted to the Graduate Faculty of the Louisiana State University and Agricultural and Mechanical College In partial fulfillment of the Requirements for the degree of Master of Science In Petroleum Engineering in The Department of Petroleum Engineering by Kurniawan.
This training course will assist you in understanding how Geolog can be used as a tool for performing laminated shaly sand analysis using the LSSA application within Geolog. The course provides detailed information about the tools available within Geolog for performing formation evaluation using horizontal and vertical resistivity data.
The selected shaly-sand interpretation models include Indonesian, Simandoux, and modified Simandoux. However, if core data is available other shaly-sand based core data evaluation models can be used such as Waxman-Smits. These models produce more accurate results because their model parameters and.The user will be able to interpret the lithology by using several logs, there are gamma ray, spontaneous potential, resistivity, and density log.Basically, a formation with high gamma ray reading indicates that it is a shaly or shale, when the low gamma ray reading indicates a clean formation (sand, carbonate, evaporite, etc.), lithology interpretation is very important in reservoir.This research utilizes reservoir data from an oilfield in Indonesia, which is characterized by shaly sand and low salinity formation water. Both low salinity and shaliness reduce the resistivity contrast between oil and water. The aim of this research was to build a comprehensive interpretation algorithm to evaluate the shaly-sand reservoir in a low salinity formation water using limited well.