Golden Software Blog

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Modeling Groundwater Resources in Surfer

Modeling Groundwater Resources in Surfer

We are pleased to present another story detailing the application of Surfer in the industry.

This story comes from former Golden Software team member, Jared King, who now works as a hydrogeologist for Knight Piésold. Mr. King and the Knight Piésold team were tasked to characterize groundwater resources for a potential mining area. An important component of the mining process, water is used for mineral processing, metal recovery, dust mitigation, and the basic needs for on-site workers. Even more importantly, a thorough understanding of groundwater resources is a major factor in understanding the environmental impact of the mine on those resources.

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Blakelee Mills
Hi Armandt - I can't speak to the methodology used, but let me reach out to the author to see if he can provide some insight.... Read More
Tuesday, 30 January 2018 08:54
Blakelee Mills
Hi Armandt - you can view the full article here http://www.goldensoftware.com/surfer-case-studies/modeling-groundwater-resources-s... Read More
Monday, 29 January 2018 09:14
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Mapping the Summer Heat Wave in Surfer

Mapping the Summer Heat Wave in Surfer

As an avid outdoorsman in Colorado, I am always making sure I know what the current local weather pattern is going to do. Whether I’m going into Rocky Mountain National Park for a day hike, attending an outdoor show at Red Rocks amphitheater, or riding in the weekly Denver Cruiser ride, I have learned over the past 17 years that the weather in my colorful state is always unpredictable! I know I need to consult the forecast to see if I need to wear a rain jacket, pack a sweatshirt, cover myself with sunscreen, or a combination of all 3 before I embark on my journey. However, the past weeks and even few months seem to change this mode of thinking. The weather has been more predictable than past years; it’s going to be hot and dry.

There has been a lot of buzz in the media lately about El Niño and the global heatwave this summer. This piqued my interest; I was curious if Colorado was experiencing the same trend locally compared to previous years’ temperatures. My mapping professional side couldn’t balk at the opportunity to create some maps that compare the summer temperatures over past years in hopes to find some obvious temperature-increasing trends.

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Adding Wells to Cross Sections in Strater 5

Adding Wells to Cross Sections in Strater 5

Cross sections are an important tool in illustrating subsurface geology.  Among the many new features added to Strater 5 are several new cross section options including water level display, retaining custom levels, and adding wells to an existing cross section. This blog will address how a new well can be added to a cross section. For this example, we will use the Cross Section.sdg sample file that ships with Strater.

The Strater 5 sample file “Cross Section.sdg” contains a cross section with four wells, well headers, two inset maps, a horizontal cross section, a depth log, and a legend. We will further manipulate this file by adding a new well and reshaping the default layers.

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Jennifer Woodson
Hi again Paul, You may also want to look into using Strater template (*.tsf) files if you find yourself recreating logs quite a b... Read More
Tuesday, 19 July 2016 12:25
Jennifer Woodson
Hi Paul, When you say you're attempting to copy a well, are you attempting to copy from a data table, or are you copying a log fr... Read More
Tuesday, 19 July 2016 12:01
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Create Aspect-Slope Maps in Seconds Using Surfer

My last blog article described how to create a slope map from a digital elevation model in Surfer. Moving forward on that topic, I found this blog article written for ArcMap on creating aspect-slope maps, which was improved upon for QGIS. This single map combines both the compass direction of slopes (aspect) and the steepness of the slopes (in degrees) and uses both color and saturation to display the combined results. Slopes facing different directions use different colors, and the brightness of that color shows the steepness of that slope (the brighter the color, the steeper the slope). I thought this was a really interesting map type and it made me wonder how this could be done in Surfer.

Coincidentally, at that time, a user asked me this exact question! The user wanted to come up with a way to see the very small slope variations in the soft sediments they have on the surface, using both aspect and slope. Looking at the slopes and aspect together may reveal small variations that otherwise could be overlooked.

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UK Votes to Leave EU

UK Votes to Leave EU

The United Kingdom (UK) voted on the United Kingdom European Union membership referendum, commonly referred to as the Brexit vote, on June 23, 2016. This referendum was to gauge citizen support for whether or not to remain a member of the European Union (EU), an economic and political partnership involving 28 European countries. Overall, the UK voted 51.9% to leave the EU, with 71.8% turnout. The world reacted when the news was announced on June 24. I've spent the last two weeks reading about this historic vote and what it means for the people of the UK, the EU, and the rest of the globe. It has already had some effects on international economic markets. It remains to be determined how it will affect the future, but I find this to be a fascinating time for trade, politics, economics, and international relations.

The first thing that interested me was the demographic breakdown of the vote. Various exit and other polls were done with information about how different demographics voted. I sifted through the information available at Lord Ashcroft Polls, and noticed some clear correlations between education level and age and how an individual in the poll voted. Older voters, less educated voters, and less employed voters were more likely to vote to leave the EU. I wondered if those in less-than-ideal socioeconomic situations were looking for anything different that may help provide a higher quality of life. Another issue that caught my attention was when voters made their decisions. Nearly 25% of those polled made their decision within the week before casting their votes! Just over 1/3 always knew how they would vote. The remaining ~40% made their minds up in the last 6+ months. To me, this shows some uncertainty about how to vote or perhaps uncertainty about what the effects of the vote would be on the individual and UK.

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Jennifer Woodson
Hi, I had listed the bars in reverse order, but it is fixed now. Thanks for catching that! Jennifer Woodson... Read More
Thursday, 21 July 2016 10:21
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