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Logistics matching service "allhaiso"

A one-stop logistics DX service connecting "shippers," "delivery partners," and "the environment."

2024 Logistics Issues: Companies that want to review overall delivery costs, regular delivery networks, and also utilize spot and emergency deliveries, along with visualization and cost reduction through area optimization simulations. The American company Omnitracs, known as the Microsoft of logistics DX, proposes a review of regular deliveries and cost reduction with its Territory Planner (area optimization tool) and RoadNet (AI automated delivery tool). Q: I am having trouble arranging trucks and costs that I use occasionally. A: You can compare quality and prices from delivery companies across Japan. In some cases, you can also transport at a lower cost using shared transport. Q: I want to find a delivery company that can operate within our internal budget. A: Generally, you will receive quotes from delivery companies, but if you submit a project within your budget, you can match with delivery companies that apply for return trips (may vary). Q: I want to confirm the reasonableness of delivery costs. A: Our cutting-edge AI simulation optimizes areas and routes, allowing for annual cost reductions. For more details, please request materials at the following: "All Haiso" https://www.allhaiso.com/

  • Other operation management software

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Decarbonization: History matching incorporating 4D seismic data

Promising as a monitoring technology! Introducing our 4D seismic exploration data survey.

To understand the distribution of injected CO2 within the reservoir, 4D seismic surveys conducted with tools like slip sensors are promising as monitoring technology. History matching of reservoir models incorporating 4D seismic data has been conducted since the late 1990s and remains a focus of attention today. When quantitatively comparing seismic data with reservoir simulation results, the large volume of data necessitates the use of automated history matching techniques. In setting the objective function for automated history matching, it is essential to compare seismic data and reservoir simulation results on the same level, which requires data transformation using Rock Physics Models (RPM) or seismic models. Based on the above, JOE is investigating and examining the following items, primarily through literature review: [Investigation and Examination Items] ■ Methods for creating proxy models and automated history matching using them ■ Workflow for formulating mismatches between seismic data and reservoir simulation results as an objective function ■ Examination and comparison of various workflows for history matching, including differences in automated history matching techniques ■ Investigation and examination of various optimization methods

  • Other contract services

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