1king, regarding your questions about the Marum Website AB anomaly graphics-- Here is a direct copy (with permission) of an informative response, from Richard Boulay, the president of Marum Resources: ------------------------------------------------------------- Hi Jesse:
Thanks for passing on Mr. 1King's comments on our website graphics. I don't view them as negative at all. Here are some brief comments:
1King asked for an explanation of "structural density". It's the amount of cracking, faulting or shearing within a geological area. It is usually approximated from remote sensing data such as air photos or satellite datasets. The raw data usually consists of visual or computerized counts of linears (i.e. line traces) either as gross counts or including sub-samples defined by linear orientation, linear length statistics, color if possible and thickness if possible. This can be quantified on digital datasets by superimposing grids and examining the intersection characteristics of the linears. What does it all mean? On the simplest level the data is useful because more fracturing is better than less fracturing, whether you are looking for gold, diamonds or other minerals. In the Chinchaga area the number of linears is very high as we would expect since it lies on the northern flank of the Peace River Arch. This is desirable because it indicates a highly fractured area which was probably generated by repeated flexuring of the northern hinge area as the Arch vibrated up and down over a span of a billion years. We also use the linears as one of the data sets in our target stack. That is, if we have a cluster of linears which coincides with other anomaly types, for instance magnetics, then that location gains in priority in the race to achieve drill target status.
1King comments on our 3-D representation of anomalies and the isolation of one anomaly with a circular vegetation feature. He notes that the graphics represent two different data sets which are "contradictory". His comment on band-pass characteristics are correct, sort of. What we have done is to represent the data in a useful way - the objective being to help us in prioritizing drill targets. In order to achieve this we can superimpose data sets to maximize the information visualization, and even "fly-through" the data with 3-d glasses. In one example, showing an anomaly cluster, we took a total field magnetic layer and draped it over the basement elevation contours, then we moved the entire basement-total field assembly up about 5,000 feet so that the anomaly clusters could "penetrate" the basement surface. Does this really happen? No! Is it useful? Definitely! We can also superimpose bandpass filter products on the same image and move them around to squeeze more information out of the data. 1King's criticism may be rooted in the fact that the data is not presented in the old fashioned single dataset, 2-D format. Our targeting software is leading edge and allows us to visualize data in innovative and very useful ways. We just thought that our shareholders would be interested in seeing some of the graphics. We disagree with 1King that sharing a few snapshots of our work detracts from the credibility of the play. Best Regards Rick Boulay President, Marum Resources Inc. marumresources.com ----------------------end-----------------------------------
The anomalies being discussed are here (I see more has been added): marumresources.com
-j :> |