Aspen Technology headquartered in Bedford offers AspenONE Engineering to refineries as a software design aid, emphasizing process optimization and cost control.
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LMKR GeoGraphix
Score 8.0 out of 10
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LMKR in Dubai offers GeoGraphix, a suite of applications supporting research activities for oil and gas like mapping and petrophysical modeling and well planning.
In enterprises where another project is tailored to the needs of the client rather than using basic tools. And where the estimate requires comprehensive cost buckets for production operations. When there is a large amount of purchasing history to enter into AspenONE Engineering in order for it to provide reliable projections. Standard equipment manufacturing enterprises are not well suited. Also, because this instrument requires time, when there are time limitation and resource or human limitations.
I can not say where "it is or is not appropriate" in general terms, because you do not have experience in all fields of application of the program. But if you can note that within the areas where it has been applied and where better results have been obtained, it is when the results have been integrated with programs such as the ARGIS, specifically through the map module, obtaining simultaneous general visualizations of different variables. Where lower quality results have been obtained, it is when the intention is to generate contour maps with relatively little information, through the use of interpolation algorithms. I have done tests where I have results with a good amount of information and I try that the program, after removing information selectively, I generate new surfaces, in order to see how sensitive is the generated surface to the amount of information available. The results are similar to those obtained with other software that can also generate the desired surfaces.
It is an integral tool that allows linking information from different disciplines.
The software allows the projects it manages to be stored anywhere in the network where it is working, including storage devices that are connected to the network itself.
The integrity of the data is high, while the search engine and associated quality control maximize the degree of manageability of the data, even when the project is large.
It suffers from what happens to most software of this type: the resolution of isolines that define points or surfaces of the same characteristic (for example, equal depth, or the same degree of hardness), depend a lot on the interpolation algorithm that the software is selected or used directly, so in general the characteristics of these surfaces do not reliably characterize the actual conditions being studied.
The use of this software, in particular, is limited to machines that operate with 64-bit processors.
We began assessing several tools when we began estimating for a full process plant or various styles of equipment. We also investigated implementing an ERP system used by the sales and item engineering departments.
Again answering from the ACCE perspective (Estimating tool) - Previously when we did estimates for simple equipment we had used excel estimates and lotus reporting. However, as we started estimating for an entire process plant or various style of equipment, we had started evaluating various tools. We had also considered using an ERP system that is utilized by Purchasing and Product Engineering teams, however, ACCE seemed a better fit for the amount of detailed estimating needed. And the robustness and various options available made us select this tool.
The named software may have the same or higher capacity than the revised one, as far as the analysis of the data is concerned, but they do not have the capacity of visual representation that the GeoGraphix has. The interesting thing is to use the best of the different software. You can analyze with one and import the data to the GeoGraphix to make the analyzes on the platform of this one.
It has enlarged the size of the study area due to its great data handling capacity.
It has increased the possibility of recreating and posing different scenarios, as well as the sensitivity of these to changes in the values of any of the parameters involved.
The speed with which you can obtain results for different study scenarios has also increased.
