What Is ISL Uranium Mining

In situ leach mining (ISL), also known as in-situ mining or solution mining, was first used as a means to extract low grades of uranium from ore in underground mines. First used in Wyoming in the 1950s, originally as a low production experiment at the Lucky June mine, it became a high-production, low cost method of fulfilling Atomic Energy Commission uranium requirements at Utah Construction Company's Shirley Basin mining operations in the 1960s. Pioneered through the efforts of Charles Don Snow, a uranium mining and exploration geologist employed by Utah, many of his developments are still used today in ISL mining.

What is ISL mining? According to the Wyoming Mining Association website, ISL mining is explained in the following manner. (We choose Wyoming because it is the birthplace of "solution mining" as it was originally called.)

"In-situ mining is a noninvasive, environmentally friendly mining process involving minimal surface disturbance which extracts uranium from porous sandstone aquifers by reversing the natural processes which deposited the uranium.

To be mined in situ, the uranium deposit must occur in permeable sandstone aquifers. These sandstone aquifers provide the "plumbing system" for both the original emplacement and the recovery of the uranium. The uranium was emplaced by weakly oxidizing ground water which moved through the plumbing systems of the geologic formation. To effectively extract uranium deposited from ground water, a company must first thoroughly define this plumbing system and then designs well fields that best fit the natural hydro-geological conditions.

Detailed mapping techniques, using geophysical data from standard logging tools, have been developed by uranium companies. These innovative mapping methods define the geologic controls of the original solutions, so that these same routes can be retraced for effective in situ leaching of the ore. Once the geometry of the ore bodies is known, the locations of injection and recovery wells are planned to effectively contact the uranium. This technique has been used in several thousand wells covering hundreds of acres.

Following the installation of the well field, a leaching solution (or lixiviant), consisting of native ground water containing dissolved oxygen and carbon dioxide, is delivered to the uranium-bearing strata through the injection wells. Once in contact with the mineralization, the lixiviant oxidizes the uranium minerals, which allows the uranium to dissolve in the ground water. Production wells, located between the injection wells, intercept the pregnant lixiviant and pump it to the surface. A centralized ion-exchange facility extracts the uranium from the barren lixiviant, stripped of uranium, is regenerated with oxygen and carbon dioxide and recirculated for continued leaching. The ion exchange resin, which becomes 'loaded' with uranium, it is stripped or eluted. Once eluted, the ion exchange resin is returned to the well field facility.

During the mining process, slightly more water is produced from the ore-bearing formation than is reinjected. This net withdrawal, or 'bleed,' produces a cone of depression in the mining area, controlling fluid flow and confining it to the mining zone. The mined aquifer is surrounded, both laterally and above and below, by monitor wells which are frequently sampled to ensure that all mining fluids are retained within the mining zone. The 'bleed' also provides a chemical bleed on the aquifer to limit the buildup of species like sulfate and chloride which are affected by the leaching process. The 'bleed' water is treated for removal of uranium and radium. This treated water is then disposed of through waste water land application, or irrigation. A very small volume of radioactive sludge results; this sludge is disposed of at an NRC licensed uranium tailings facility.

The ion exchange resin is stripped of its uranium, and the resulting rich eluate is precipitated to produce a yellow cake slurry. This slurry is dewatered and dried to a final drummed uranium concentrate.

At the conclusion of the leaching process in a well field area, the same injection and production wells and surface facilities are used for restoration of the affected ground water. Ground water restoration is accomplished in three ways. First, the water in the leach zone is removed by "ground water sweep", and native ground water flows in to replace the removed contaminated water. The water which is removed is again treated to remove radionuclides and disposed of in irrigation. Second, the water which is removed is processed to purify it, typically with reverse osmosis, and the pure water is injected into the affected aquifer. This reinjection of very pure water results in a large increment of water quality improvement in a short time period. Third, the soluble metal ions which resulted from the oxidation of the ore zone are chemically immobilized by injecting a reducing chemical into the ore zone, immobilizing these constituents in situ. Ground water restoration is continued until the affected water is suit
able for its pre-mining use.

Throughout the leaching and restoration processes, a company ensures the isolation of the leach zone by careful well placement and construction. The well fields are extensively monitored to prevent the contamination of other aquifers.

Once mining is complete, the aquifer is restored by pumping fresh water through the aquifer until the ground water meets the pre-mining use.

In situ mining has several advantages over conventional mining. First, the environmental impact is minimal, as the affected water is restored at the conclusion of mining. Second, it is lower cost, allowing Wyoming's low grade deposits to compete globally with the very high grade deposits of Canada. Finally the method is safe and proven, resulting in minimal employee exposure to health risks."

ISL mining may be the wave of the future of U.S. uranium mining, or it may become an interim mining measure, in areas where the geology is appropriate for IS. Until sufficient quantities of uranium are required by U.S. utilities to fuel the country's demand for nuclear energy, ISL mining may remain the leading uranium mining method in the United States. At some point, an overwhelming need for uranium for the nuclear fuel cycle may again put ISL mining in the backseat, and uranium miners may return to conventional mining methods, such as open pit mining.

Source: http://ezinearticles.com/?What-Is-ISL-Uranium-Mining&id=183880

Data Mining in the 21st Century: Business Intelligence Solutions Extract and Visualize

When you think of the term data mining, what comes to mind? If an image of a mine shaft and miners digging for diamonds or gold comes to mind, you're on the right track. Data mining involves digging for gems or nuggets of information buried deep within data. While the miners of yesteryear used manual labor, modern data minors use business intelligence solutions to extract and make sense of data.

As businesses have become more complex and more reliant on data, the sheer volume of data has exploded. The term "big data" is used to describe the massive amounts of data enterprises must dig through in order to find those golden nuggets. For example, imagine a large retailer with numerous sales promotions, inventory, point of sale systems, and a gift registry. Each of these systems contains useful data that could be mined to make smarter decisions. However, these systems may not be interlinked, making it more difficult to glean any meaningful insights.

Data warehouses are used to extract information from various legacy systems, transform the data into a common format, and load it into a data warehouse. This process is known as ETL (Extract, Transform, and Load). Once the information is standardized and merged, it becomes possible to work with that data.

Originally, all of this behind-the-scenes consolidation took place at predetermined intervals such as once a day, once a week, or even once a month. Intervals were often needed because the databases needed to be offline during these processes. A business running 24/7 simply couldn't afford the down time required to keep the data warehouse stocked with the freshest data. Depending on how often this process took place, the data could be old and no longer relevant. While this may have been fine in the 1980s or 1990s, it's not sufficient in today's fast-paced, interconnected world.

Real-time EFL has since been developed, allowing for continuous, non-invasive data warehousing. While most business intelligence solutions today are capable of mining, extracting, transforming, and loading data continuously without service disruptions, that's not the end of the story. In fact, data mining is just the beginning.

After mining data, what are you going to do with it? You need some form of enterprise reporting in order to make sense of the massive amounts of data coming in. In the past, enterprise reporting required extensive expertise to set up and maintain. Users were typically given a selection of pre-designed reports detailing various data points or functions. While some reports may have had some customization built in, such as user-defined date ranges, customization was limited. If a user needed a special report, it required getting someone from the IT department skilled in reporting to create or modify a report based on the user's needs. This could take weeks - and it often never happened due to the hassles and politics involved.

Fortunately, modern business intelligence solutions have taken enterprise reporting down to the user level. Intuitive controls and dashboards make creating a custom report a simple matter of drag and drop while data visualization tools make the data easy to comprehend. Best of all, these tools can be used on demand, allowing for true, real-time ad hoc enterprise reporting.

Source: http://ezinearticles.com/?Data-Mining-in-the-21st-Century:-Business-Intelligence-Solutions-Extract-and-Visualize&id=7504537

Internet Data Mining - How Does it Help Businesses?

Internet has become an indispensable medium for people to conduct different types of businesses and transactions too. This has given rise to the employment of different internet data mining tools and strategies so that they could better their main purpose of existence on the internet platform and also increase their customer base manifold.

Internet data-mining encompasses various processes of collecting and summarizing different data from various websites or webpage contents or make use of different login procedures so that they could identify various patterns. With the help of internet data-mining it becomes extremely easy to spot a potential competitor, pep up the customer support service on the website and make it more customers oriented.

There are different types of internet data_mining techniques which include content, usage and structure mining. Content mining focuses more on the subject matter that is present on a website which includes the video, audio, images and text. Usage mining focuses on a process where the servers report the aspects accessed by users through the server access logs. This data helps in creating an effective and an efficient website structure. Structure mining focuses on the nature of connection of the websites. This is effective in finding out the similarities between various websites.

Also known as web data_mining, with the aid of the tools and the techniques, one can predict the potential growth in a selective market regarding a specific product. Data gathering has never been so easy and one could make use of a variety of tools to gather data and that too in simpler methods. With the help of the data mining tools, screen scraping, web harvesting and web crawling have become very easy and requisite data can be put readily into a usable style and format. Gathering data from anywhere in the web has become as simple as saying 1-2-3. Internet data-mining tools therefore are effective predictors of the future trends that the business might take.

If you are interested to know something more on Web Data Mining and other details, you are welcome to the Screen Scraping Technology site.

Source: http://ezinearticles.com/?Internet-Data-Mining---How-Does-it-Help-Businesses?&id=3860679

Revitalize and Refresh Your Home With a Dry Organic Deep Extraction Carpet Cleaning

While everyone is familiar with the old-style of water intensive steam-based carpet cleaning methods, few are aware of the benefits of high powered dry extraction carpet cleaning technology. With the environmental concerns of today, and water shortages throughout the country, dry extraction carpet cleaning is starting to gain popularity. This method employs the use of vigorous agitation, deep cleaning organic and biodegradable cleansing materials, and high powered vacuum extraction, to rejuvenate and cleanse deep into the carpet fibers.

The agitation system is composed of two counterrotating nylon brushes which are safe for any synthetic and natural carpet fiber. Natural material carries the cleaning agents and is spread similar to that of carpet powder. High vacuum pressure utilizing HEPA filtration extracts deep down dirt, grime and mold particles. Dry extraction carpet cleaning, while utilizing no water, will leave the carpet ready to walk on as soon as the cleaning is finished.

With old-style steam carpet cleaning it is oftentimes required to use several hundred gallons of water to achieve the same results. And while this type of carpet cleaning may seem less expensive, what many of these companies don't tell you, is that the water they will be using will come from your own tap. Many of the cheapest steam cleaning companies will simply utilize steam cleaning machines which will pump the used water back into your yard.

Dry extraction carpet cleaning requires no additional or hidden costs from the customer. The equipment is lightweight and easy to maneuver, allowing the technician to finish the job usually in half the time of conventional steam methods. Utilizing completely biodegradable organic carrier agents, this material is worked into the carpet to achieve the cleaning and then extracted through high-powered vacuum. The twin brushed agitation method stretches and extends the carpet pile, leaving a texture similar to that of freshly laid carpet.

The scent is pleasant and not overwhelming, leaving the home smelling fresh. Dry extraction carpet cleaning has been around for quite a few years commercialy, but only now is it starting to gain recognition and serious competition to other carpet cleaning services. When looking around for your next carpet cleaning service, consider a dry deep extraction system. With this method there are no harsh chemicals or cleaning agents that can harm your carpets, whether they are wool, shag, cut pile or premium import.

Try dry extraction cleaning the next time you want your carpet deep down clean, you won't be disappointed.

For the absolute best home cleaning and maid service on Metro North Atlanta. MaidPro can get the job done, you dirty it, we can clean it- guaranteed! We only use safe, organic, hypoallergenic, cleaning supplies and systems.

Source:http://ezinearticles.com/?Revitalize-and-Refresh-Your-Home-With-a-Dry-Organic-Deep-Extraction-Carpet-Cleaning&id=1608594

Websites Can Contractually Restrict Third Party Scraping of Their Data

E-commerce service providers can contractually prevent other websites from copying factual information from their website for commercial use, such as for price comparison purposes.

On 15 January 2015, the Court of Justice of the European Union (CJEU) confirmed in a preliminary ruling that websites not protected by a database right, are free to impose contractual restrictions on the use of their data. Interestingly, the CJEU acknowledged that the contractual restrictions could – if national law permits - be imposed through the website’s terms and conditions.

Let’s have a quick look at how this matter arose. Since the early days of online reservations, some websites discovered that they could attract a lot of visitors by comparing the online prices displayed by e-commerce websites selling competing goods and services. Originally such third party websites were called “content aggregators” and today one particular type, so-called “price comparison” websites, is widely-known.  To be able to aggregate such content and create added-value for the consumer, these websites use automated software that visits the e-commerce websites and copies the latter’s pricing information in real time. This practice is often referred to as “screen scraping” and frequently occurs in the online travel reservation business. Some of these third party websites do not only show the compared prices of airline tickets but act as an intermediary for booking travel packages, including car and hotel rental services on top of the airline ticket, often after adding a commission.

In response, low-cost airlines quickly started taking legal action against such screen scraping practices, fearing the loss of such additional, revenue-generating services to these third party websites and also through suffering reputational damage when consumers were not properly informed about issues such as flight changes and cancellations. In these circumstances there was one case between the low-cost airline, Ryanair, and the third party website owner, PR Aviation BV, in which the Dutch Supreme Court made a preliminary ruling request to the CJEU.

The CJEU, in its preliminary ruling on the scope of database protection and contractual freedom, ruled in Ryanair’s favour. It concluded that, in the absence of any database related copyright or sui generis protection on Ryanair’s website, Ryanair was expressly allowed to lay down contractual limitations on the use of its website by third parties. Ryanair would not have had such contractual freedom if its database enjoyed copyright or sui generis database protection (due to the restriction laid down in Article 15 of the Database Directive 96/9/EC). Ryanair’s terms and conditions, to which users had to visibly agree when searching for flights (but without needing to explicitly tick a box), indeed stated that the use of any automated system or software to extract data from its website for commercial purposes was prohibited. Ryanair even went as far as to explicitly state that other websites could not sell its flights and that price comparison websites had to enter into a written licence agreement with Ryanair,
to access Ryanair’s price, flight and timetable information for the sole purpose of price comparison.

As a consequence of the CJEU’s ruling, any website making available mere factual information not protected by any legal right, can still prevent others from using such information through its terms and conditions. Clearly, that website will have to demonstrate under applicable (national) law that the website visitor is contractually bound, in particular because it validly agreed to such terms and conditions. Depending on the applicable law, such agreement by the consumer could be considered as having taken place by ticking a box or merely after having been made aware of the website’s terms and conditions.

The CJEU’s ruling is likely to impact upon the business model of a number of content aggregating/price comparison websites. The ruling’s concrete relevance, however, will have to be assessed on a case-by-case basis.

Source:http://www.timelex.eu/en/blog/detail/websites-can-contractually-restrict-third-party-scraping-of-their-data

Top Tips for Data Mining Success

You may have trieTips for data mining successd data mining before but you seem to be lost in the maze of confusion, data overload, and a number of strange terms and icons. Do not fret, you are not alone. There may be a number of first timers who are in the same boat as you do. Stop, refocus and start all over again with the following tips in mind.

It is important that proper handling of the data mining procedure must be employed. Easy as it may sound, it can only bring in great results when it is placed in the expert hands and when done according to the right patterns and processes. This is not to say that data mining is only successful for a gifted and trained few. It means serious consideration, preparation, and training must be part of the groundwork before disembarking into it.

The most practical and tested tips are: know your desired outcomes; set expectations; assign the right personnel; avoid data dump; create a deployment scheme; develop a maintenance plan.

Know your desired outcomes

As the major proprietor of your business, you of all people should have a clear view in mind of what you really want for your business. Thus, before trying on new strategies and techniques that are recommended to you, you must know what your desired outcomes are. For instance, if your business is in real estate, you must be able to foresee which direction your market should go. Are you going up on skyscrapers or towards the horizons in the countryside? From great lengths, you go to the specifics and clearly spell out what you want and where it should be.

Set expectations

In connection with identifying your outcomes, you must also set realistic and attainable expectations. These are the very things that preclude possible obstacles and frustrations in the coming years. You can see where your business is going by web research or data mining. You can see the past and present of your competitors and you can also set your own future based on the experiences of others. It is often wise to set expectations that you have not attained before. It is like plowing and preparing the ground because you know rain is coming and it is the right time to plant and gain great harvest.

Assign the right personnel

When you find the right person as well as the right data mining service, you can cut short tiresome planning, devising and preparation. If you are in a small enterprise, you can spearhead the procedure but if you have enough staff at your disposal, choose one who is not only knowledgeable but also reliable and dedicated. You do not want someone who is only a good starter and one who would leave you hanging when the going gets tough.

Avoid data dump

Being sure of what you want can help you avoid unnecessary data. Data mining like real mining is being able to know where the gold is and is able to get it done in the most efficient and effective way. Being able to identify the legal sites and reliable, well researched information is the short cut to finding the right and exact data. It would be a waste of time and effort if you are aimlessly opening and clicking on unsure and ambiguous websites. There are a lot of links that lead you to more links and are simply making money out of others’ ignorance.

Create a deployment scheme

Like any other venture, you must also be able to delegate the task as well as the information that you gather. Since you are not a superhuman, learn to seek the assistance of others and be sure that you know who to trust. In addition, you must have a classification and segregation of the needed materials so that these will be easy to locate and analyze. In other words, order and proper organization is another tip in order to achieve success in data mining.

Develop a maintenance plan

Finally, along with orderliness and efficiency, you must see to it that you have an effective maintenance plan. What to do with old data and where to store the vital ones are concerns that need to be considered too. In addition, there is a need for a watchdog in the whole duration of your business venture. This will not only assure you of security of your data but also keep you on healthy and solid ground. This maintenance can be both a cleaning and healing spot for your business’ overall life and sustainability.

So much can be said about how to go about with your business using data mining but there is a factor that is uniquely your own. Above and beyond all these techniques and strategies, trust your instincts. You are the better judge of your desires and actions; thus, you must spend time alone in reflection, contemplation and retrospection. Being silent and alone can make you see things that are missed among all the movements and noise. Once in a while, leave the scene and look objectively at your work. Remember, there is wisdom in alienation and objectivity.

Source: http://www.loginworks.com/blogs/web-scraping-blogs/213-tips-for-data-mining-success/