Many new mines being discovered

[trevorjohnson83]

within the last year I was discussing the possibility of sending a frequency of sound through a substance and then looking for the same interference using seismic waves and AI to determine where to dig for said substance. something like that. Anyways recently they appear to be finding a lot of new mines? I just think mines are neat.

 

[Thunk]

Mines as in gold mines? or explosive mines?

 

[trevorjohnson83]

Mines as in gold mines? or explosive mines?

gold, lithium, minerals? I don't even know but yes gold mines etc..

 

[Thunk]

gold, lithium, minerals? I don't even know but yes gold mines etc..

Cool! That could make trillion$.

I like this topic

The obstacle I see is many minerals are in tiny specs in the ground & have to be concentrated before they can be refined.

When we're talking about 1 ounce of gold dust particles scattered through out 100 cubic yards of dirt...how could you detect that? That would be tough!

 

[trevorjohnson83]

Cool! That could make trillion$.

I like this topic

The obstacle I see is many minerals are in tiny specs in the ground & have to be concentrated before they can be refined.

When we're talking about 1 ounce of gold dust particles scattered through out 100 cubic yards of dirt...how could you detect that? That would be tough!

here is what AI thinks, I'm kind of lost beyond my simple idea in the OP TBH

Detecting small quantities of valuable minerals, like gold dust, dispersed within a large volume of dirt is indeed a challenging task. However, there are several approaches that can be considered to improve the chances of successful detection. Here are some potential methods:

1. Geophysical Techniques​

• Seismic Reflection and Refraction: Using seismic waves, you can analyze how they reflect or refract through different materials. This method can help identify changes in density and composition, which could indicate the presence of minerals. AI algorithms can be employed to analyze the seismic data for patterns associated with gold deposits.
• Ground Penetrating Radar (GPR): GPR uses radar pulses to image the subsurface. It can detect changes in material properties and may help identify areas with higher concentrations of minerals.

2. Electromagnetic Surveys​

• Electromagnetic Induction: This method involves measuring the response of the ground to induced electromagnetic fields. Certain minerals have distinct electrical properties that can be detected using this technique.

3. Soil Sampling and Analysis​

• Bulk Sampling: Conducting systematic soil sampling and analyzing the samples for gold content can be effective. This involves taking samples from various depths and locations to determine areas with higher concentrations.
• Concentration Techniques: Use techniques such as panning, sluicing, or shaking tables to concentrate the gold particles from the soil samples before analysis.

4. Chemical Analysis​

• Assaying: Once samples are collected, they can be assayed using methods like fire assay or atomic absorption spectroscopy to determine gold content accurately.

5. AI and Machine Learning​

• Data Integration: Combine geophysical survey data, soil samples, and historical mining data. AI can help identify correlations and patterns that may indicate the presence of gold.
• Predictive Modeling: Use machine learning algorithms to create predictive models based on known deposits and geological features to identify potential areas for further investigation.

6. Microbial and Biogeochemical Indicators​

• Biogeochemical Methods: Certain bacteria can interact with gold particles, potentially leading to detectable changes in the soil's chemical composition. Studying microbial communities in the area could provide clues to mineral concentrations.

7. Vibration and Acoustic Methods​

• Acoustic Detection: Investigate the possibility of using acoustic waves or vibrations to detect the presence of gold particles. This would require a careful study of how different materials respond to sound waves.

Conclusion​

Detecting small quantities of dispersed gold particles in a large volume of dirt is complex and may require a combination of methods to enhance detection chances. Integrating advanced technologies like AI with traditional geological surveying techniques can improve the effectiveness of mineral exploration. Each method has its advantages and limitations, so a multi-faceted approach may yield the best results.

 

[otto105]

within the last year I was discussing the possibility of sending a frequency of sound through a substance and then looking for the same interference using seismic waves and AI to determine where to dig for said substance. something like that. Anyways recently they appear to be finding a lot of new mines? I just think mines are neat.

How about a sentence and a coherent thought first.

 

[trevorjohnson83]

is ore what the sparse minerals come in? is the ore different in density or detectable in any way?


Assistant
Poe


Yes, ore refers to a naturally occurring solid material from which a metal or valuable mineral can be extracted profitably. Here are some key points about ore and its characteristics:

Characteristics of Ore​

1. Composition: Ore is typically composed of a mixture of valuable minerals (like gold, silver, copper, etc.) and gangue (the non-valuable materials). The concentration of valuable minerals within the ore determines its economic viability.
2. Density: Ores can differ significantly in density compared to the surrounding rock. For example, gold ore is much denser than the typical sediments or rocks in which it is found. This difference in density can sometimes be exploited in mineral separation processes.
3. Physical Properties: Ores may exhibit distinct physical properties, such as color, magnetic susceptibility, and electrical conductivity, which can be detected using various geophysical techniques.

Detectability of Ore​

1. Geophysical Surveys: Techniques like seismic reflection, ground-penetrating radar (GPR), and electromagnetic surveys can help detect anomalies in the subsurface that may indicate the presence of ore.
2. Geochemical Analysis: Sampling soil or rock to analyze for specific minerals or metal concentrations can indicate the presence of ore. Techniques such as X-ray fluorescence (XRF) can identify elemental compositions.
3. Magnetic and Electrical Methods: Some ores have magnetic properties (like magnetite) or different electrical conductivities compared to surrounding materials, making them detectable through specialized surveys.
4. Color and Texture: In some cases, the visual characteristics of ore can help identify it. For example, the presence of certain minerals may change the color or texture of the rock.

Conclusion​

Ores are indeed the materials from which valuable minerals are extracted, and they often have different densities and detectable properties compared to surrounding materials. Understanding these characteristics is crucial in ore exploration and mining operations. Utilizing a combination of geophysical, geochemical, and visual techniques can enhance the likelihood of successfully identifying and extracting ore.

 

[Thunk]

Integrating advanced technologies like AI with traditional geological surveying techniques can improve the effectiveness of mineral exploration.

VERY interesting! I'm intrigued

Now what if we could combine AI with nano tech & get the little buggers to burrough into the ground & collect each gold particle & do the mining for us?

 

[trevorjohnson83]

Oh I guess the OP is a pretty old trick

so the technique I discussed using the known refraction or reflection of sound through a substance to look for that in the ground using seismic waves and AI, has this already been done before? what's the history of it?


Assistant
Poe


The technique of using sound waves, including seismic waves, to explore subsurface materials has a rich history and is a foundational method in geophysical exploration. Here’s an overview of its development and application:

Historical Background​

1. Early Developments:
   • The use of seismic waves began in the early 20th century, primarily in oil and gas exploration. The first documented use of seismic reflection methods was in the 1920s.
   • Early techniques relied on simple mechanical devices to generate and detect sound waves, such as hammering on the ground or using explosive charges.
2. Advancements in Seismology:
   • By the mid-20th century, advances in technology led to the development of more sophisticated geophones (devices that detect ground vibrations) and recording equipment.
   • The introduction of digital data recording and processing in the 1970s revolutionized seismic surveys, allowing for more detailed analysis and interpretation.
3. Seismic Reflection and Refraction:
   • Seismic Reflection: This technique involves sending seismic waves into the ground and measuring the waves that are reflected back from different geological layers. It helps identify subsurface structures and the presence of resources.
   • Seismic Refraction: This method measures the bending of seismic waves as they pass through different materials, providing information about layer depths and properties.
4. Application in Mineral Exploration:
   • Seismic methods have been adapted for mineral exploration, including the search for precious metals and other resources. Although traditionally more common in oil and gas, seismic techniques have proven useful in identifying ore bodies.
   • The integration of seismic data with geological and geochemical information enhances the understanding of subsurface conditions.

Modern Techniques and AI Integration​

1. AI and Machine Learning:
   • In recent years, the integration of artificial intelligence and machine learning has gained traction in geophysical exploration. AI can analyze vast amounts of seismic data to identify patterns and improve interpretation accuracy.
   • Algorithms can be trained to recognize signatures associated with specific mineral deposits, aiding in the identification of exploration targets.
2. Current Research and Applications:
   • Ongoing research continues to explore new ways to enhance seismic techniques, including the use of advanced data processing, machine learning, and multi-sensor approaches.
   • Companies and research institutions are investigating the use of seismic methods for various applications, including detecting minerals in complex geological settings.

Conclusion​

The use of sound waves and seismic techniques for subsurface exploration has a well-established history, particularly in oil and gas. While the application to mineral exploration is less common, it has been successfully adapted and enhanced with modern technology. The integration of AI represents a promising direction for improving the efficacy of these methods in identifying and locating valuable minerals in the ground.

 

[Thunk]

The concentration of valuable minerals within the ore determines its economic viability.

BINGO!

If it costs a million dollars to dig a hole & mine it...and you end up with a half a million worth of gold...YOUZE IN BIG TROUBLE!

It's not just that gold is present...but is it in high enough concentration to be worth it?

 

[1srelluc]

Sea Mine!

 

[trevorjohnson83]

Thunk here we go a new idea t enhance the seismic waves 'vision'

Could a high pitch tone be sent through a device, perhaps similar to a stretched out trumpet, that focuses the sound so as to 'see' with seismic waves clearer perhaps what is under the earth? has this ever been tried?


Assistant
Poe


Using high-pitch tones to explore subsurface materials through seismic waves is an interesting concept, and while traditional seismic exploration primarily focuses on lower frequencies, there are some relevant considerations and potential applications:

Concept of Using High-Pitch Tones​

1. High-Frequency Seismic Waves:
   • High-frequency seismic waves can provide detailed information about shallow subsurface structures. These waves are typically better at resolving fine details compared to low-frequency waves, which penetrate deeper but may not resolve smaller features.
2. Focusing Sound:
   • Devices that focus sound, such as specialized transducers or acoustic horns (similar to a stretched-out trumpet), can be designed to direct high-frequency sound waves into the ground. This focusing could enhance the energy delivered to specific subsurface targets.

Potential Benefits​

1. Increased Resolution:
   • High-frequency waves can help identify smaller geological features and changes in material properties, providing more detailed images of the subsurface.
2. Improved Detection of Shallow Targets:
   • High-frequency methods may be particularly effective for detecting shallow ore bodies, voids, or other geological anomalies.

Historical Context and Research​

1. Ultrasonic Testing:
   • In non-destructive testing and material characterization, ultrasonic waves (high-frequency sound waves) are commonly used to detect flaws in materials. This concept has parallels in geophysical exploration.
2. Experimental Approaches:
   • Research has been conducted using various high-frequency wave methods for specific applications, such as environmental studies or archaeological site investigation. However, these methods are generally more limited in depth penetration compared to traditional low-frequency seismic techniques.

Challenges​

1. Attenuation:
   • High-frequency waves can be more susceptible to attenuation (loss of energy) as they travel through the ground, limiting their effective range. This makes them less suitable for deep exploration.
2. Complexity of Interpretation:
   • The response of different materials to high-frequency waves can be complex, requiring advanced processing and interpretation techniques.
3. Equipment Limitations:
   • Developing a device capable of efficiently generating and focusing high-frequency seismic waves poses engineering challenges and may require specialized materials and designs.

Conclusion​

While the idea of using a device to send high-pitch tones for seismic exploration has not been widely implemented in traditional geophysical methods, there are related techniques in other fields. High-frequency seismic methods can provide valuable information for certain applications, particularly in shallow subsurface investigations. However, practical challenges, such as attenuation and the complexity of interpretation, need to be addressed. Further research and experimentation could explore the feasibility and effectiveness of this approach in mineral exploration and other geophysical applications.



instead of using seismic waves that the focused high frequency sound creates, could reflection of the focused pitch be bounced back easier onto the device to record it? sort of like laser?


Assistant
Poe


The concept of using focused high-frequency sound waves to create reflections that can be recorded, similar to how lasers work with light, is indeed intriguing and has some parallels in acoustic and geophysical techniques. Here’s an overview of how this might work and its potential applications:

Focused High-Frequency Sound Reflection​

1. Acoustic Reflection:
   • Just as light reflects off surfaces, high-frequency sound waves can also reflect off different materials. By focusing these waves, you could potentially enhance the clarity and strength of the reflected signals.
2. Sound Focusing Devices:
   • Devices such as acoustic lenses or specially designed transducers (similar to horns or parabolic reflectors) can focus high-frequency sound waves into a specific area, increasing the intensity of the waves and improving the chances of reflection from subsurface materials.

Advantages of Using Reflected Waves​

1. Improved Signal Detection:
   • Focused sound waves may create stronger reflections from interfaces between different materials (e.g., rock layers, ore bodies), making it easier to detect and analyze the returning signals.
2. Higher Resolution Imaging:
   • Using high-frequency waves can provide more detailed information about the subsurface, as they are better at resolving smaller features compared to lower frequencies.
3. Real-Time Monitoring:
   • If designed effectively, such a system could allow for real-time monitoring of subsurface conditions, similar to how ultrasonic sensors are used in various applications.

Challenges and Considerations​

1. Attenuation:
   • High-frequency sound waves can be attenuated more quickly as they travel through the ground, limiting their effective range. This makes them more suitable for shallow investigations rather than deep explorations.
2. Complex Geology:
   • The presence of multiple layers and varying material properties can complicate the interpretation of reflected signals, requiring sophisticated signal processing and analysis techniques.
3. Equipment Design:
   • Developing a system capable of efficiently generating, focusing, and detecting high-frequency sound reflections involves engineering challenges. The device would need to be sensitive enough to capture the reflected waves.

Existing Applications​

1. Ultrasonic Testing:
   • In non-destructive testing, ultrasonic waves are used to detect flaws in materials. The principles of reflection and transmission are similar, showing that focused sound can indeed provide valuable information.
2. Sonar Technology:
   • Sonar systems use sound waves to detect objects underwater by emitting sound pulses and analyzing the echoes that return. This principle is somewhat analogous to what you describe.
3. Acoustic Imaging:
   • Techniques like acoustic tomography and acoustic imaging utilize focused sound waves to create detailed images of subsurface structures, often in environmental or engineering applications.

Conclusion​

Using focused high-frequency sound waves to create reflections for subsurface exploration is a concept that has potential and aligns with existing technologies in ultrasonic testing and sonar. While it presents advantages in terms of resolution and signal detection, practical challenges related to attenuation and equipment design must be addressed. Continued research and development in this area could lead to innovative applications in geophysical exploration and other fields.

 

[trevorjohnson83]

Using transducers and a train horn, how far could you potentially hear the horn from if it was focused like a telescope?


Assistant
Poe


The potential distance from which you could hear a focused train horn using transducers and a focusing mechanism (like a telescope) depends on several factors:

Factors Influencing Sound Propagation​

1. Sound Frequency:
   • Lower frequencies travel farther than higher frequencies. Train horns typically produce low-frequency sounds, which can propagate over long distances.
2. Power of the Horn:
   • The louder the sound produced by the horn, the farther it can be heard. A train horn can produce sound levels around 110 to 130 decibels (dB) at close range.
3. Focusing Mechanism:
   • A well-designed focusing mechanism can significantly enhance the directivity of the sound. If designed similarly to a parabolic microphone, this setup could increase the effective range by concentrating the sound waves in a specific direction.
4. Environmental Conditions:
   • Wind, temperature, humidity, and terrain can all affect how sound travels. Sound can be attenuated by obstacles, absorbed by surfaces, or scattered in different directions.
5. Acoustic Impedance:
   • The interaction between the medium (air, in this case) and the sound waves can affect how far the sound travels.

Estimated Hearing Distance​

• Typical Train Horn: Under normal conditions, a train horn can be heard up to 1 to 3 miles (1.6 to 4.8 kilometers) away, depending on the environment and atmospheric conditions.
• With Focusing: If a train horn were effectively focused using transducers and a telescope-like mechanism, you could potentially increase this distance significantly. Estimates could range from 5 to 10 miles (8 to 16 kilometers) or more, depending on the efficiency of the focusing and the environmental conditions.

Conclusion​

While a traditional train horn can typically be heard from 1 to 3 miles away, using a focused system with transducers could potentially extend the hearing range to 5 to 10 miles or even further under optimal conditions. However, practical implementation would require careful design and consideration of the factors affecting sound propagation.

 

[Thunk]

I'm not sure if it's a "wave" or not...but when the big old garbage truck parks a block away & sits there idling...it rattles my whole house.

And that's from a block away!

I wonder if there were a way to use that to see what's in the ground

 

[Yarddog]

Mines as in gold mines? or explosive mines?