Engineering and mining companies have faced a growing range of pressures in recent years, including price volatility, the need to drill down deeper to find new resources, and an industry-wide skills shortage. To address these challenges, many mining companies have embraced digital technology to enhance engineering design and developsmart mines. Ausenco is a tech savvy engineering company that delivers innovative, value-add consulting services, project delivery, asset operations and maintenance solutions to the mining and metals, oil and gas, and industrial sectors. The companys experts provide tailored solutions that help clients respond to changes in the market by combining global experience and a flexible approach that is both innovative and cost-efficient.

Anuj Anand is the CIO of Ausenco. He joined the company in 2006 as a graduate engineer and held various roles across engineering design, systems, and innovation. In 2018, he was appointed VP, Technology Services and Solutions and subsequently in 2021, to CIO. In his current role, he leads a global team of IT professionals who support Ausencos 26 offices across 14 countries. Anuj has developed a high level of expertise in the integration of systems and processes with a key concentration on information management. He has spent time in various Ausenco offices deploying new systems and standardizing best practices with a focus on transitioning legacy systems and infrastructure to modern platforms. He tailors change management practices to suit the different cultures across the company.

Anuj explains that his industry experience from working on the floor, as well as at mining sites in the middle of nowhere, gave him key insights and a sound understanding of the nuances and intricacies of a very complicated business. He states, I often tell this story about my first foray into IT. I was challenged to come up with a vision and strategy of how I perceived the industry in 5 years and what we needed to do to get there. He confesses that not coming from the IT space and not having a background in the sector was bound to make this a challenge. Anuj was given three months to gain an understanding of the situation and then present it to the CIO and CTO at that time. After spending almost a month trying to understand the lay of the land and interviewing the IT team, he thought he had come up with a brilliant strategy and set a time to present to the C-suite. He was thrilled that he had completed the task in six weeks -rather than the allotted three months. However, it didnt go well and the presentation ended with the words Anuj, how about you take the time to rethink this and present it to us again in three months time? This experience taught him a lot. Anuj believes that the only time one actually fails is when one chooses to believe so. During this experience, he received a lot of constructive feedback and excellent commentary. He presented again three months later after doing extensive research and in corporating the feedback he had received. And as they say,the rest is history in the making of a Top 10 CIO.

From an achievement perspective, Anuj believes that Ausenco has realized multiple tangible successes in cost savings and in infrastructure upgrades. However, for Anuj, the biggest success the team has achieved to-date, is changing the corporate culture to appreciate that IT is not just a behind-the-keyboard cost centre, but rather a partner that drives improvement, efficiency, and collaboration. Anuj feels that cultural change is often the hardest to enact, but that it can be the most rewarding.He talks about his passion for sport and how he learned about leadership following successful sports teams. One of his favourite quotes is by James Kerr, author of Legacy, and one of the most successful New Zealand All Blacks (rugby) coaches Create the highest possible operating standards, develop the character of your players, develop the culture of your team and, The Score Takes Care of Itself.He has seen this play out with in his team at Ausenco.

Talking about challenges, Anuj notes that the industry was going through a transition when he became CIO, and managing this transition was demanding.Looking to the future, Ausenco decided to make new investments in technology. Planning and experience were paramount to the success of this project, as the company needed to not only upgrade the older technology, but to also select the technology that would still be relevant in five years.Navigating the various technologies and choosing the right ones was challenging but during those five years, the company made the best choices possible and has developed excellent relationships and partnerships with key players in the technology space.

According to Anuj, learning on the floor and directly experiencing how things are done, is critical to understanding how a new system, or an innovative process, will effect change. This understanding has helped him communicate his messages clearly and engage his co-workers in embracing the solutions that help solve their problems Most importantly, these changes arent made to just keep up with technology, but are made to have a material impact on the business.

Anuj discusses how cyber security is also a critical challenge for CIOs, and that ensuring they can keep the crown jewels safe, is no easy task. As technology advances, it has become easier for bad actors to also use technology to try and breach perimeters. Its definitely something that the CIO is concerned with and where we have to continually invest to constantly strengthen security says Anuj.

Anuj agrees that AI has been a very interesting development in the modern world. Ausenco has partnered with market leaders in the space to bring AI into their workplace and to use AI to address critical business problems in order to be more efficient. They are also looking to be a leader in this space. He mentions that the company has already kicked off three projects in the AI space and has six more waiting in the wings. These projects, and the investment required, have developed through collaboration with key stakeholders and leaders in the business and will reach fruition next year. The company has also moved further with big data. Most organizations have copious amounts of data that may or may not be used or accessed effectively. Newer technologies have made it possible to bring this all together whether in a data lake or a warehouse and get the right data to the right people at the right time with the simple click of a few buttons. Anuj further adds that the company has also ensured that its new tools and systems have a robust data plan in place that will allow gathering the data together in a simple fashion, whether through APIs or other means.

Anuj believes that both the mining and metals, and energy sectors are ripe for disruption. He highlights that they have not always been quick to change,but today with advances in technology such as IoT and AI, these industries are likely to accelerate the adoption of new technologies and change the status quo.

According to Anuj, every CIO and leader, should foremost have a high level of emotional intelligence (EI).A high EI leads to trust, helps build relationships, reduces conflict and stress in a team, improves productivity and incorporates good communication. Empathy is one of the components of EI and is critical to managing and developing a strong team as well as for building relationships with both internal and external stakeholders.

For Anuj, creativity or innovation is the next must-have attribute of a CIO. He saysThere needs to be the innate ability to challenge the status quo and Find a Better Way (Ausencos purpose).This needs to be constant, he argues. Without this attribute and open-mindedness, CIOs will find themselves constantly challenged, claims Anuj. No one will know everything about everything so it is important to continue to learn and leverage ones skills and those around you. He refers to this as the start-up mindset but advises approaching this with a level of humility that is often missing in start-up culture.

For Anuj, the third key attribute of a CIO is to be a change manager. The only thing that is constant in his line of work (IT) is change. As CIO, once a project is underway, it is about staying consistent with the change and being able to navigate what may be a complicated path. Change is never easy as it involves an element of disruption that not everyone is comfortable with.Possessing strong EI and change management skills helps the implementation go a lot smoother. He emphasises that being a change manager takes excellent project management and planning skills.

Anuj also believes that CIOs need to be data stewards to excel at their work. This is where leaders need to understand the data,andbe able to translate the technical data and information into a language that is easily understood by the board and C-Suite. In addition, the CIO must be able to pull various sources of organizational and business data together to make it more useful across business groups.

For future CIOs, Anuj advises, Stay open to new experiences and keep learning. Always say yes to challenges no matter how daunting they seem at the time. Its pressure that makes diamonds. There is only so much that books can teach you, everything else you will learn from experience and other peoples experiences stay open to them.

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Anuj Anand: Pushing the Boundaries of the Mining Industry by Leveraging Tech-Based Innovation - Analytics Insight

DUBLIN--(BUSINESS WIRE)--The "Process Mining Software Market Size, Share & Trends Analysis Report by Component (Software, Services), by Deployment, by Application, by Industry Vertical, by Region, and Segment Forecasts, 2021 - 2028" report has been added to ResearchAndMarkets.com's offering.

The global process mining software market size is estimated to reach over USD 7.95 billion by 2028 and is expected to expand at a CAGR of 50.1% from 2021 to 2028

The increasing awareness about the need to understand and analyze business processes driven by digital transformation is one of the key factors driving market growth. Additionally, the constant increase in data volumes across industries is driving the demand for process mining software and services.

Restrictions imposed on global imports and exports amid the COVID-19 pandemic hampered the operations of industries such as transportation, logistics, and manufacturing. The resultant shortage of resources encouraged businesses to seek new opportunities for cloud-based solutions and adopt automation technologies.

Process mining software combines Business Intelligence (BI), analytics, automation, critical change agents, and Artificial Intelligence (AI) functions to help enterprises bridge the gap in siloed data scattered across various business processes. Process mining also assists organizations in discovering and fixing the inadequacies impeding the performance of business processes.

The market has also benefitted from the high volumes of data and the growing need to generate insights from data distributed across enterprises. Businesses are in desperate need of tools that can enable efficient data processing and data mapping. This, in turn, is boosting the demand for process mining software solutions that offer features such as automated process mapping and fact-based insights.

Process Mining Software Market Report Highlights

Market Variables, Trends & Scope

Market Driver Analysis

Market Restraint/Challenge Analysis

Market Opportunity Analysis

Market Lineage Outlook

Penetration & Growth Prospect Mapping

Porter's Five Forces Analysis

Pest Analysis

COVID-19 Impact on Process Mining Software Market

Companies Mentioned

For more information about this report visit https://www.researchandmarkets.com/r/bs2vnb

Originally posted here:

Global Process Mining Software Market Analysis Report 2021-2028: Increasing Investments in Digital Optimization & Transformation and Integration...

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Data mining is widely used in diverse areas. There are a number of commercial data mining system available today and yet there are many challenges in this field. In this tutorial, we will discuss the applications and the trend of data mining.

Here is the list of areas where data mining is widely used

The financial data in banking and financial industry is generally reliable and of high quality which facilitates systematic data analysis and data mining. Some of the typical cases are as follows

Design and construction of data warehouses for multidimensional data analysis and data mining.

Loan payment prediction and customer credit policy analysis.

Classification and clustering of customers for targeted marketing.

Detection of money laundering and other financial crimes.

Data Mining has its great application in Retail Industry because it collects large amount of data from on sales, customer purchasing history, goods transportation, consumption and services. It is natural that the quantity of data collected will continue to expand rapidly because of the increasing ease, availability and popularity of the web.

Data mining in retail industry helps in identifying customer buying patterns and trends that lead to improved quality of customer service and good customer retention and satisfaction. Here is the list of examples of data mining in the retail industry

Design and Construction of data warehouses based on the benefits of data mining.

Multidimensional analysis of sales, customers, products, time and region.

Analysis of effectiveness of sales campaigns.

Customer Retention.

Product recommendation and cross-referencing of items.

Today the telecommunication industry is one of the most emerging industries providing various services such as fax, pager, cellular phone, internet messenger, images, e-mail, web data transmission, etc. Due to the development of new computer and communication technologies, the telecommunication industry is rapidly expanding. This is the reason why data mining is become very important to help and understand the business.

Data mining in telecommunication industry helps in identifying the telecommunication patterns, catch fraudulent activities, make better use of resource, and improve quality of service. Here is the list of examples for which data mining improves telecommunication services

Multidimensional Analysis of Telecommunication data.

Fraudulent pattern analysis.

Identification of unusual patterns.

Multidimensional association and sequential patterns analysis.

Mobile Telecommunication services.

Use of visualization tools in telecommunication data analysis.

In recent times, we have seen a tremendous growth in the field of biology such as genomics, proteomics, functional Genomics and biomedical research. Biological data mining is a very important part of Bioinformatics. Following are the aspects in which data mining contributes for biological data analysis

Semantic integration of heterogeneous, distributed genomic and proteomic databases.

Alignment, indexing, similarity search and comparative analysis multiple nucleotide sequences.

Discovery of structural patterns and analysis of genetic networks and protein pathways.

Association and path analysis.

Visualization tools in genetic data analysis.

The applications discussed above tend to handle relatively small and homogeneous data sets for which the statistical techniques are appropriate. Huge amount of data have been collected from scientific domains such as geosciences, astronomy, etc. A large amount of data sets is being generated because of the fast numerical simulations in various fields such as climate and ecosystem modeling, chemical engineering, fluid dynamics, etc. Following are the applications of data mining in the field of Scientific Applications

Intrusion refers to any kind of action that threatens integrity, confidentiality, or the availability of network resources. In this world of connectivity, security has become the major issue. With increased usage of internet and availability of the tools and tricks for intruding and attacking network prompted intrusion detection to become a critical component of network administration. Here is the list of areas in which data mining technology may be applied for intrusion detection

Development of data mining algorithm for intrusion detection.

Association and correlation analysis, aggregation to help select and build discriminating attributes.

Analysis of Stream data.

Distributed data mining.

Visualization and query tools.

There are many data mining system products and domain specific data mining applications. The new data mining systems and applications are being added to the previous systems. Also, efforts are being made to standardize data mining languages.

The selection of a data mining system depends on the following features

Data Types The data mining system may handle formatted text, record-based data, and relational data. The data could also be in ASCII text, relational database data or data warehouse data. Therefore, we should check what exact format the data mining system can handle.

System Issues We must consider the compatibility of a data mining system with different operating systems. One data mining system may run on only one operating system or on several. There are also data mining systems that provide web-based user interfaces and allow XML data as input.

Data Sources Data sources refer to the data formats in which data mining system will operate. Some data mining system may work only on ASCII text files while others on multiple relational sources. Data mining system should also support ODBC connections or OLE DB for ODBC connections.

Data Mining functions and methodologies There are some data mining systems that provide only one data mining function such as classification while some provides multiple data mining functions such as concept description, discovery-driven OLAP analysis, association mining, linkage analysis, statistical analysis, classification, prediction, clustering, outlier analysis, similarity search, etc.

Coupling data mining with databases or data warehouse systems Data mining systems need to be coupled with a database or a data warehouse system. The coupled components are integrated into a uniform information processing environment. Here are the types of coupling listed below

Scalability There are two scalability issues in data mining

Row (Database size) Scalability A data mining system is considered as row scalable when the number or rows are enlarged 10 times. It takes no more than 10 times to execute a query.

Column (Dimension) Salability A data mining system is considered as column scalable if the mining query execution time increases linearly with the number of columns.

Visualization Tools Visualization in data mining can be categorized as follows

Data Mining query language and graphical user interface An easy-to-use graphical user interface is important to promote user-guided, interactive data mining. Unlike relational database systems, data mining systems do not share underlying data mining query language.

Data mining concepts are still evolving and here are the latest trends that we get to see in this field

Application Exploration.

Scalable and interactive data mining methods.

Integration of data mining with database systems, data warehouse systems and web database systems.

SStandardization of data mining query language.

Visual data mining.

New methods for mining complex types of data.

Biological data mining.

Data mining and software engineering.

Web mining.

Distributed data mining.

Real time data mining.

Multi database data mining.

Privacy protection and information security in data mining.

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See the rest here:

Data Mining - Applications & Trends

TORONTO, Dec. 3, 2021 /CNW/ - Adventus Mining Corporation ("Adventus")(TSXV: ADZN) (OTCQX: ADVZF) is pleased to announce the commencement of exploration scout hole drilling on its Rathkeale block in County Limerick in the Republic of Ireland. The work is being done under the earn-in agreement with a wholly owned subsidiary of South32 Limited ("South32"), which has a right to acquire a 70% interest in the Kingscourt, Rathkeale and Fermoy blocks, which are 100% owned by Adventus through its wholly owned subsidiary, Adventus Zinc Ireland Limited ("AZIL"). These three project areas encompass 1,277 km2 of favourable strata known to host Irish-type zinc-lead-silver systems. South32 is required to fund EUR 3,500,000 in exploration on the three blocks over a four-year period with AZIL acting as operator during the earn-in period (see January 13, 2020, news release).

Highlights:

Rathkeale Block Geology

The Rathkeale Block consists of a total of eight contiguous prospecting licences covering an area of approximately 255 km2 of prospective ground for base of Waulsortian Zn-Pb mineralization in west County Limerick. The block lies immediately west of Glencore's Tobermalug deposit (1) (45.4 Mt inferred mineral resources grading 7% zinc and 1% lead), and Group Eleven's Pallas Green West and Stonepark projects. The rocks underlying the Rathkeale Block are primarily Lower Carboniferous in age. The geological history of the area progressively records the early Carboniferous marine transgression across the Old Red Sandstone continent, development of Visan basin and shelf palaeoenvironments and later deposition of the late Namurian strata of the Newcastle West area. Historical drilling and geological interpretation suggest that the Rathkeale syncline is a complex of half graben structures associated with a series of ENE trending, Early Carboniferous extensional faults. Thick breccias and conglomerates along with associated alteration including dolomitization and black matrix breccia have been intersected in historical drilling on this zone. This polymict sequence of Rathkeale Limestone and Waulsortian Mudbank clasts indicates large scale faulting following the initial deposition of the Waulsortian. Regional extension was accompanied by gravitational collapse and excavation of footwall scarps during Chadian to Arundian; a similar age to that recognized in the north Dublin Basin and more significantly coeval with development of the Boulder Conglomerate at Navan.

Rathkeale Block Target Refinement

Over the last year, the target generation compilation was updated to include all the new exploration data being collected over the Rathkeale Block. Large datasets for surficial geochemistry (including soil and lithogeochemical samples), historical drilling, historical geophysical studies (gravity, magnetics, electromagnetic) and geological mapping were incorporated and developed into working models. Each target that was developed required rock exposures to be checked and mapped; however, high-priority areas had a combination of geochemical & geophysical techniques were applied (ionic leach soils, SGH, ground MT) to further enhance target refinement for drilling.

To visualize the Rathkeale geological and structural framework, detailed cross-sections using historical drill hole and recent seismic information were constructed and digitized. These cross-sections were then added to a Leapfrog Geo 3D model that was developed for visualization of all target generation initiative ("TGI") datasets. This 3D model allows for enhanced target selection in the 3D environment, notably for drill hole planning. A key component of the Phase 1 scout hole drilling at Rathkeale is the refinement and verification of the current geological and structural interpretation, which will lead to the overall enhancement of target evaluation. The seven Phase 1 scout hole drill targets were selected due to a combination of pre-existing targeting utilising 2017 seismic data, updated structural-stratigraphic targeting, historical mineral occurrences without base of Waulsortian test current geochemical-geophysical targeting.

The first drill hole in the program, collared in late November 2021 is drilling on the Killeen target in licence PLA 3368. The Killeen target is in the hanging wall of the GB fault, close to an original 2018 seismic target (Attyflin). This scout hole is aimed at targeting at an area of anomalous LGC (hydrothermal pyrite & barite signature), a conductive feature identified in the ground MT survey in the HW of a key structure on the block and at providing essential geological context. The siting of the hole, 1.5 km from the seismic line ADV17-01 will allow the collection of downhole velocity data which is the next key step in the interpretation of seismic data. Additionally, the hole will act as a test of the use of the MT method as a subsurface interpretation tool in this environment.

Kingscourt Drilling Update

Two holes 21-3609-01 and 21-3732-01 were completed in mid-2021 on the Marl Hill (Julianstown) and Marvelstown targets respectively described in the May 6, 2021, news release. Although only trace levels of zinc-lead mineralization were intersected in each drill hole, the key target horizon, known as the Pale Beds, was present and well developed, which confirmed modeling. The presence of slumped sedimentary breccias at Mark Hill in drill hole 21-3609-01 further enhances the prospectiveness of the target area.

The pXRF data collected on drill core indicates elevated base metal concentrations in the Micrite Unit that appears to be the most prospective assemblage intersected in 21-3732-01. The pXRF data also indicates a greater degree of hydrothermal alteration in this part of the basin denoted by hydrothermal dolomite signatures (with enrichments in manganese, iron, and magnesium). The profiles of the Pale Beds in 21-3732-01 show a broad pattern of mineralization and alteration, with a galena dominant signature towards the base of the Pale Beds and sphalerite mineralization at a higher elevation. Both weakly mineralized zones are interpreted as fault-controlled mineralization with the lower zone being more sulphide deficient (lead and barium enriched), whereas the higher zone having formed in a more reduced environment leading to low arsenic pyrite, low cadmium sphalerite, more sphalerite formation relative to galena with associated dolomitization.

With these two drill holes, only a very small portion of the prospective area from the Kingscourt Fault east along the broad hanging wall of the Ardee Moynalty Fault Zone has been tested. This area is thought to be a compartmentalized basin that has a large area of untested prospective ground yet to be drilled. A key area of interest is the Marvelstown to the Kingscourt Fault area where pXRF data indicates a greater degree of hydrothermal activity. The use of innovate processing of pXRF data to model stratigraphy has confirmed the absence of an approximate 60 m section of the ABL in 21-3609-01, which is observed both in drill core and in chemical profiles.

Next Steps

Adventus and South32 plan to continue with drilling the remaining scout hole targets on the Rathkeale Block, as each target is considered stand-alone. Key targeting information derived from the completion of the current drill hole on the Killeen target will be incorporated into the Rathkeale TGI, and the geological and geophysical modelling will be updated using the downhole data obtained, with future drill planning adjusted accordingly. The technical team is also continuing to work on the remaining Kingscourt targets and assessing follow up drilling based upon results from the first two drill holes. Additional drilling at Kingscourt is expected in the first half of 2022.

Geochemical sampling is ongoing on the Fermoy block with results expected in Q1 2022 for incorporation into the Fermoy TGI with detailed follow up to be carried out ahead of developing targets for drilling in the second half of 2022; however, it should be noted that five new prospecting licenses have now been issued for the Fermoy block totalling 122km2, expanding the coverage over prospective lands with field work commencing in 2022.

Technical Information and Quality Control & Quality Assurance ("QAQC")

Project work in Ireland is being managed and reviewed by Vice President of Exploration for Adventus, Jason Dunning, M.Sc., P.Geo., a Qualified Person within the meaning of NI 43-101, who has also reviewed and approved the technical and scientific information of this news release as accurate. Technical staff collect and process samples that are securely sealed and shipped to ALS Global ("ALS") in Loughrea, Ireland for sample preparation that includes crushing and milling to prepare pulps that are then split for analysis. All assay data have undergone internal validation of QAQC; noting there is an established sampling control program with blind insertion of assay blanks, certified industry standards and sample duplicates for the project. A QAQC program is also in place at ALS and includes insertion of blanks, standards, and duplicate reanalysis of selected samples. ALS' quality system complies with the requirements for the International Standards ISO 9001:2000 and ISO 17025: 1999. At ALS, elements are analyzed using a 48-element 4 acid digestion with ICP-MS technique with overlimit testing in place using ore grade methodologies, also with 4 acid digestion.

Qualified Person

The technical information of this news release has been reviewed and verified as accurate by Mr. Jason Dunning, M.Sc., P.Geo., Vice President Exploration for Adventus, a non-Independent Qualified Person, as defined by NI 43-101.

About Adventus

Adventus Mining Corporation is an Ecuador focused copper-gold exploration and development company. Its strategic shareholders include Altius Minerals Corporation, Greenstone Resources LP, Wheaton Precious Metals Corp., and the Nobis Group of Ecuador. Adventus is advancing the Curipamba copper-gold project through a feasibility study, while continuing to explore the broader 215 square kilometre district. In addition, Adventus is engaged in a country-wide exploration alliance with its partners in Ecuador, which has incorporated the Pijili and Santiago copper-gold porphyry projects to date. Adventus also controls an exploration project portfolio in Ireland with South32 Limited as funding partner. Adventus is based in Toronto, Canada, and is listed on the TSX Venture Exchange under the symbol ADZN and trades on the OTCQX under the symbol ADVZF.

About South32

South32 is a globally diversified mining and metals company. Our purpose is to make a difference by developing natural resources, improving people's lives now and for generations to come. We are trusted by our owners and partners to realise the potential of their resources. We produce bauxite, alumina, aluminium, and metallurgical coal, manganese, nickel, silver, lead and zinc at our operations in Australia, Southern Africa, and South America. With a focus on growing our base metals exposure, we also have two development options in North America and several partnerships with junior explorers around the world.

Neither the TSX Venture Exchange nor its Regulation Services Provider (as that term is defined in the policies of the TSX Venture Exchange) accepts responsibility for the adequacy or accuracy of this news release.

This press release contains "forward -looking information" within the meaning of applicable Canadian securities laws. Any statements that express or involve discussions with respect to predictions, expectations, beliefs, plans, projections, objectives, assumptions or future events or performance (often, but not always, identified by words or phrases such as "believes", "anticipates", "expects", "is expected", "scheduled", "estimates", "pending", "intends", "plans", "forecasts", "targets", or "hopes", or variations of such words and phrases or statements that certain actions, events or results "may", "could", "would", "will", "should" "might", "will be taken", or "occur" and similar expressions) are not statements of historical fact and may be forward-looking statements.

Forward-looking information herein includes, but is not limited to, statements that address activities, events, or developments that Adventus and Salazar expect or anticipate will or may occur in the future. Although Adventus and Salazar have attempted to identify important factors that could cause actual actions, events, or results to differ materially from those described in forward-looking information, there may be other factors that cause actions, events or results not to be as anticipated, estimated, or intended. There can be no assurance that such information will prove to be accurate, and actual results and future events could differ materially from those anticipated in such information. Accordingly, readers should not place undue reliance on forward-looking information. Adventus and Salazar undertake to update any forward-looking information except in accordance with applicable securities laws.

Please also visit the Adventus website at http://www.adventusmining.comand LinkedIn page at https://www.linkedin.com/company/adventus-mining-corporation.

Table 1: Drill Collar Information, Rathkeale block

Hole ID

EAST

NORTH

ELEV (m)

AZIMUTH

DIP

DEPTH (m)

COMMENT

21-3368-01

550316

647065

24

152

-70

N/A

In progress; target depth of Pale Beds ~ 900 m

Notes:(1) All drill holes are surveyed in UTM Datum (ITM / IRENET95)

Table 2: Drill Collar Information, Kingscourt block

Hole ID

EAST

NORTH

ELEV (m)

AZIMUTH

DIP

DEPTH (m)

COMMENT

29-3609-01

685436

787317

61

160

-75

657

Successfully completed as planned

21-3732-01

680528

782619

70

160

-75

534

Successfully completed as planned

Notes:(1) All drill holes are surveyed in UTM Datum (ITM / IRENET95)

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Adventus Mining Announces Commencement of Drilling on Rathkeale Property and Initial Results of Kingscourt Drill Program Under The South32 Earn-In...