I have well log data of 17 wells for a given area, and seismic data for the same area. How do I calculate seismic attributes in areas near to each well(say, a 10-meter radius from the well) using PETREL software?
Till now, what I have tried is, importing the wells and seismic data(3D). Then, cropping the volume near to each well, calculating a seismic attribute over that volume and then exporting as a .segy file. But, this is a very time consuming and tedious approach, and I am not even sure if it is right.
So, I'd like to know if there is an alternative, systematic approach?
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I am trying to implement an inflation layer between two geometries in my mesh using ANSYS, and I am confused about the procedure.
I found online (see the answer from Gopinath N K on 1/17/22) that in the ANSYS meshing tool you cannot combine face meshing with inflation. So I tried to remove the face sizings thinking that was what was being referred to but it gave mixed results which I'll explain below.
Second, I saw here that to create inflation I might need to employ named selections instead of selecting the two geometries (a body and a face) but this also gave mixed results.
As to my mixed results, I successfully got an inflation layer to work for a cylindrical body inside another cylindrical one (see images below). The blue larger cylinder is the body (red arrow), and the green circles are the edges of the small cylinder inside (green arrows). I created this inflation layer successfully.
However, when I try to create an inflation layer between the Rotating Zone (larger cylinder) and the Stationary Zone the inflation layer fails. This occurs as soon as I select the rectangular larger body. I didn't bother to finish selecting the other faces since next to Active it says "No, Invalid Method". The same thing occurs if I select the Structured Zone (smallest cylinder) and the faces of the wing (angled plate subtracted from the Structured Zone). So I really no clue what is causing this since it seems to occur as soon as I select the outer larger body geometry. Maybe I'm not selecting the right set of faces, or there is something else that is leading to this.
Thank you
So it turns out that the message saying "No, Invalid Method" is referring to a Hex Dominant method I created. There are certain mesh methods that inflation does not like to work with, and I haven't been able to find any reason why. I hope anyone using the ANSYS Mesher finds this helpful.
Original question below:
'What is the best way to achieve the below in sql:
Take an area such as Chicago Illinois, place a grid over it of cells 50m x 50m and place a point in the centre of each grid cell. The coordinates of each point will be used to look at a table of lat/longs and calculate which of these points are within 200m of each point from the grid.'
To provide more detail to the above to make things a bit clearer. The greater aim is to:
Query a table of lat/longs in sql (2012) to find the greatest number of points in a 200m radius. I believe that using the Geography capabilities in sql I can accomplish much of this. To be able to sample the table of points I wanted to create a grid (say of New York - 50m x 50m cells) and move a circle (200m radius) into the center of each square grid cell and then use the buffer function to find what was within the circle. However, I've been searching online and I haven't been able to find a way to create the grid and the central lat/longs.
I am aware of the haversine equation and have used it before (the inverse of this I suppose is what I'm looking for). I would just appreciate some guidance to make sure I don't go down the wrong avenue for too long.
When you are talking about UI You can't handle it in sql.
SQl is a relational database management system, or RDBMS, that supports a wide variety of transaction processing, business intelligence and analytics applications in corporate IT environments. but UI use In information technology, the user interface (UI) is everything designed into an information device with which a person may interact. This can include display screens, keyboards, a mouse and the appearance of a desktop. It is also the way through which a user interacts with an application or a website. The growing dependence of many companies on web applications and mobile applications has led many companies to place increased priority on UI in an effort to improve the user's overall experience .WHEN YOU ARE TALKING A BOUT DESIGN YOU HAVE TO USE UI NOT SQL.
this link can help you to find your solution.
My goal is to achieve something that was previously asked in this site (outside from SO). In this external site the questions is unanswered, and in order to give more visibility and to try to get an answer I translate it to here:
The issue is:
I have a small simulation of particles flowing through a wire mesh structure, and I'm interested in calculating the mass flow rate and volume fraction of particles at certain cross sections. I think I understand how to calculate mass flow rate by setting up small regions and dumping particle count and velocity from that region. I assume that volume fraction works in a similar fashion, except I only need to know the size of my particles and my dump region.
What I'm wondering is this - is it possible to do these things in Paraview? I can set up planes and slices and such, but I can't seem to extract much useful information out of them.
Further on down the road, what I would like to do would be to plot contours of volume fraction at certain planes, and plot the volume fraction along the vertical axis so I can see how high the particles are piling up on top of the screen, based on particle size, wire size, etc. Can Paraview do any of this?
This is a visualization issue. I don't know how make it with Paraview. The idea is count how much particles cross the slice.
My first approach was piped: DataReader | Spherical Glyph | Slice with normal fixed handly along z axis but nothing results. Also I tried to adding the filter Surface Flow and nothing too. Probably I am piping the data in a bad way.
To see the pipelining process I add an image (focus in PlotOverLine1 and its above pipes):
I am trying to create an algorithm that can take a set of objects and organize them in a given area such that a box bounding all of the shapes is optimized (either by area used, or by maximizing the span along one of the dimensions, etc.). All of the shapes are closed and bounded.
The purpose of this is to try and minimize material waste from using a laser cutter. The shapes are generated in CAD and can read into this algorithm. The algorithm will then take arguments for the working area (effective laser cutting area) as well as the minimum separation between any two objects, then attempt to organize the objects within the specified dimensions while trying to minimize the area usage. Alternatively, the algorithm can also try to maximize the object locations along one axis while minimizing the span along the other dimension. This would be akin to cutting off a smaller workpiece to cut from.
Ideally, the algorithm would be able to make translations AND rotations, but rotations aren't necessary.
For example, this Picture depicts the required transformation.
It should work with an arbitrary, but small (<25) number of objects.
Lastly, I don't expect anyone to solve this for me, but I would appreciate help toward either finding an algorithm that can do this, or developing my own. Thank you.
I dont know to what extent you want to create said algorithm or how you want to implement it, But i know of a program called OptiNest that can do what you ask. It organizes geometric shapes to optimize the layout and minimize waste on a plane, i think in an autocad format.
We're building a GIS interface to display GPS track data, e.g. imagine the raw data set from a guy wandering around a neighborhood on a bike for an hour. A set of data like this with perhaps a new point recorded every 5 seconds, will be large and displaying it in a browser or a handheld device will be challenging. Also, displaying every single point is usually not necessary since a user can't visually resolve that much data anyway.
So for performance reasons we are looking for algorithms that are good at 'reducing' data like this so that the number of points being displayed is reduced significantly but in such a way that it doesn't risk data mis-interpretation. For example, if our fictional bike rider stops for a drink, we certainly don't want to draw 100 lat/lon points in a cluster around the 7-Eleven.
We are aware of clustering, which is good for when looking at a bunch of disconnected points, however what we need is something that applies to tracks as described above. Thanks.
A more scientific and perhaps more math heavy solution is to use the Ramer-Douglas-Peucker algorithm to generalize your path. I used it when I studied for my Master of Surveying so it's a proven thing. :-)
Giving your path and the minimum angle you can tolerate in your path, it simplifies the path by reducing the number of points.
Typically the best way of doing that is:
Determine the minimum number of screen pixels you want between GPS points displayed.
Determine the distance represented by each pixel in the current zoom level.
Multiply answer 1 by answer 2 to get the minimum distance between coordinates you want to display.
starting from the first coordinate in the journey path, read each next coordinate until you've reached the required minimum distance from the current point. Repeat.