Imperial College London

Dr Craig Smalley

Faculty of EngineeringDepartment of Earth Science & Engineering

Visiting Professor







Royal School of MinesSouth Kensington Campus






BibTex format

author = {Stolum, HH and Smalley, PC},
pages = {451--464},
title = {Deterministic method for assessing reservoir communication based on strontium fingerprinting},
year = {1992}

RIS format (EndNote, RefMan)

AB - Incomplete or ambiguous knowledge about communication is an important area of uncertainty in reservoir simulation. We document several cases in which a new quantitative and deterministic method, strontium fingerprinting, can be used to give exact predictions of reservoir communication and flow units. In all cases, the isotopic composition of strontium (87Sr/86Sr) dissolved in the formation water was used to monitor compositional variability of formation water. This natural isotopic tracer is particularly useful as it can be measured simply from conventional core samples by extracting residual salts which have precipitated in the pore spaces as a result of formation water evaporation during storage. We have termed this technique `Residual Salt Analysis' (RSA). It enables detailed sampling in any part of a well for which there is core available. So far, RSA data have tended to yield rather ambiguous predictions. A quantitative method for treating the data has been lacking, as well as an empirical foundation of interpretations. However, we have tested the following hypotheses with empirical data: Intrafield variability of formation water chemistry may be closely correlated with reservoir compartmentalization. If two reservoir units are in good flow communication, their formation waters are likely to have been homogenized by flow and diffusion. On the other hand, a lack of flow communication will inhibit water mixing and thus preserve variations in water compositions. Thus, whatever the cause of intra-field variations in water composition, two reservoir units that have a similar water chemistry are more likely to be in good flow communication than two units with different water compositions. The Sr-ratio values obtained from five wells (n = 117) show a natural tendency to clustering. This contrasts with, for instance, a statistical normal distribution of the data. Moreover, data from distinct reservoir units in different wells are aggregated as distinct clusters in near
AU - Stolum,HH
AU - Smalley,PC
EP - 464
PY - 1992///
SP - 451
TI - Deterministic method for assessing reservoir communication based on strontium fingerprinting
ER -