Ann: Results of Meeting, page-9

The vibe has every right to be positive me thinks..


Noting that Gaspar as shown above is in line with the 758,400 coordinate and perhaps was suggested to extend beyond the intial area as identified on the mags so "happy as" that it indeed does..


Grid map below represents 1km x 1km squares, ergo it's 2km Nth - Sth & 3km East - West as shown & witth 100 x 200m spacings but with a deviation out over the original Gaspar due to a new intrusion..

Now it's a big area and one which is highly prospective as we know. Not all of it will be mineralized of course but neither does it have to be in order to nail 500Mt..

In fact if it goes 800m deep then an area of 500 x 500 will equal 200m cubic metres in total and depending on the sg of the rock could well nail 500Mt as indicated. Survey indicates the depth and the size may shaping up.

Would love to get a sniff of a target out of this campaign, research would indicate the possibility is there...


IP Surveys and 3D modelling then used to estimate grade and identify the crucial drill targets, as well as reduce overall holes req to meet JORC req for estimates as per the research ref below.

244d04ca021a1b84fb9b43cf18e720f0be8e.pdf (semanticscholar.org)

Bulletin of the Mineral Research and Exploration
Mineral resource estimation using a combination of drilling and IP-Rs data using statistical and cokriging methods.
ABSTRACT
The aim of this research is the mineral resource estimation using a combination of drilling and IP-Rs data. Therefore the approach of this paper is to study the correlation of induced polarization (IP) and Electrical resistivity (Rs) data with drilling data in order to grade estimation and mineral resource estimation. Reducing the boreholes number and optimization of the boreholes location is another aim of this research. The Abassabad copper mine located in Miami-Sabzevar mineralization belt northeast Iran was chosen as a case study. Within the borehole locations, geophysical profiles were designed and surveyed. After IP-Rs data inversion, 2D sections were prepared. The 3D block models of IP-Rs were constructed by geostatistical methods. The correlation between IP-Rs and drilling data were examined by statistical and geostatistical methods using regression, multivariate regression analysis, and cokriging. Based on the mentioned methods copper grade was estimated and the 3D block models of Cu grade were constructed. Obtained models were checked and compared with real Cu model compiled according to drilling data which was done after geophysical measurements. Results showed that the regression between IP data and Cu grade was more appropriate with least error. Rs data are not suitable for Cu estimation, due to changing intervals which led to increasing estimation error. Based on the suggestions of this paper, we could reduce the number of boreholes to 30% of the initial number and optimize the boreholes locations.

Diagram from the research paper quoted would indicate the pretty colours are what we want.

After which modelling and analysis will hopefully give us the grade estimate





Discussion
The Miami-Sabzevar copper belt is a wide mineralization zone that it is currently under reconnaissance and exploration. This vast areas of this belt entails high cost and time-consuming exploration activity. Thus the main goal of this research was to devise an exploration plan to overcome this hurdle. Geophysical methods are among the cheapest and fastest so we decided to use geophysical methods combined with drilling results in ore modeling. For this purpose, the active mine of Madan Bozorg in the Miami-Sabzevar belt was selected as a case study.

At first, the application of the IP-Rs methods was investigated through devising survey profiles. In the borehole locations 2 profiles were designed and surveyed. In this location, there were 20 boreholes. Obtained data was inverted and 2D sections of IPRs were prepared. IP-Rs results were compared with drilling results. Then in the locations that there is no boreholes, 2 profiles were designed and surveyed. Also these data were inverted and sections were prepared (see 4.1.2). In the next stage, 3D models of IP-Rs data were prepared by geostatistical methods and the correlation between Cu grade and IP-Rs was examined. To check obtained results, 7 exploratory boreholes were proposed, and drilled. Drilling results showed that the geophysical method could detect anomalous region for Cu mineralization, significantly. Moreover, the correlation between Cu grade and IPRs is appropriate and applicable (see 4.1.2).

Based on the drilling, the database includes 20 boreholes (available boreholes and drilled boreholes after geophysical modeling) was constructed. The correlation between Cu grade and IP-Rs were revised and investigated. For this purpose regression, MRA and cokriging were used and according to the obtained correlation, Cu grade was estimated in the study area. The 3D block model of the estimated Cu grade was constructed (see; 4.2, 4.3, 4.4).

As mentioned before the case study is an active copper mine, so the extraction block model based on the measured copper grade is available. The mineral reserve estimation results according to the measured copper grade presented briefly (Table.7). The obtained results showed that the estimated copper is about 1.95 million ton with 0.71% mean.

The obtained models based on the combination of IP-Rs and drilling data were compared were compared with actual Cu models, according to this we can say the obtained results are acceptable.to better comparison, we calculated the estimation error of obtained models over the actual model (Table 8).

Results showed that the model constructed by the cokriging method is close to reality with minimum error. Beside cokriging method, the results of the regression method (correlation between IP and Cu) is better. Due to the smoothing effect of the cokriging, the estimated copper is less than the actual result.

Conclusion
IP-Rs methods have been used successfully in the copper detection in the Abassabad copper mine with highest efficiency. Through geostatistical methods, we were able to construct 3D models for IP-Rs data that surveyed in 2D which were confirmed by drilling results.

Correlation between Cu grade and IP-Rs were examined and calculated using regression, MRA and cokriging methods and based on them, Cu grade was estimated and the 3D block model of Cu was constructed.

Results proved that Cu estimation using IP data is of better quality than Rs data, because of high variation of Rs data that increases error rate. However, Rs data can be used for geological prediction.

Results of this paper shows that the location and number of additional boreholes can be optimized by the combination of geophysical data and drilling results. We could reduce the number of boreholes and the cost of the exploration operation significantly. e.g. The number of boreholes could be decreased from 20 to 7 in two places with acceptable results by geophysical modeling.



"The commercial potential of the El Pilar copper-gold porphyry system will only be determined by drilling, and
a preliminary program with this objective is planned to commence next month with assays being received
from June or July 2023."

"If the results are positive, and proximate the results of the one hole drilled to date into the outer zone of the
El Pilar intrusive (PDH-004A with 1.23% Cu over its 134m length from 49m), Antilles Gold will then
commence negotiations for a subsidiary to enter into a joint venture with GeoMinera, to further explore the
El Pilar copper-gold porphyry system, and to study its potential development."

GLTAH H8tey..