Discussion and Response : the role of end-users in the creation of a contingency plan

by Darshan Thakkar 

One of the best examples of the above question is Chevron's infrastructure. It is one of the massive power companies that usually use seismic imaging technologies in their daily operations (Gorszczyk & Operto 2021). The seismic imaging technology has become a boon to Chevron infrastructure and thus enhanced the efficiency of their production levels. The outcomes were above expected levels, and thus, the company got a chance to witness the huge benefits from this advanced technique. We all know that the risks and obstacles are a part of the success, and the company must come up with the necessary measures to deal with the ongoing obstacles and the future challenges. Companies need to implement various security frameworks to safeguard their data and remain faithful in the public's eyes.

  Coming to the end-users, they usually play a significant role in the contingency strategy. When the end-users themselves are involved in the contingency methods voluntarily, that will add value to the daily operations, thus bringing vast profits to the company. The end-user is solely responsible for the monitoring of the contingency plans and their implementation processes (Malehmir 2018). One should make sure that the laid plans or strategies are implemented without obstacles, and the outcomes are to be noted to come up with the changes in the existing plans. The end users generally use various business strategies to target the important or the key areas of the business world. An organization starts to implement contingency plans that make it easier for the organization to accept or respond to emergencies during working hours and unwelcome disasters. One of them is that business officials might face problems or issues during emergencies. Mostly, the organizations keep the contingency plans as plan B to avoid loss during emergencies.

References

Gorszczyk, A., & Operto, S. (2021). GO_3D_OBS: the multi-parameter benchmark geomodel for seismic imaging method assessment and next-generation 3D survey design (version 1.0). Geoscientific Model Development, 14(3), 1773–1799.  https://doi.org/10.5194/gmd-14-1773-2021

Malehmir, A., Bergman, B., Andersson, B., Sturk, R., & Johansson, M. (2018). Seismic imaging of dyke swarms within the Sorgenfrei–Tornquist Zone (Sweden) and implications for thermal energy storage. Solid Earth (Göttingen), 9(6), 1469–1485.  https://doi.org/10.5194/se-9-1469-2018