石油和天然气技术变革的未来方向

据3月27日Offshore Energy报道，过去，石油和天然气行业的技术主要集中在数字化流程和在工作流程中应用人工智能（AI）。随着二十一世纪第二个十年的结束，未来十年将继续采用更多的技术变革并扩展现有工具以提高移动现场运营的效率和效力。

展望未来，我预见以下三种技术趋势将对油气企业的经营方式产生影响：

增强移动功能

随着技术的进步，外勤人员将通过在日常工作流程中利用移动技术来提高机动性。这包括使用手机、iPad或可穿戴设备之类的东西来获取数据并在日常工作中提高效率。移动功能将使流程的优化得以实现，从而使工作人员可以更快地做出决策并加快整个流程。这一理念将激励企业在日常行动和运营中提高效率和效力。

全企业范围的AI

人工智能将在全企业范围内实施。管理层并不是唯一能够利用和受益于数据来做出决策的人。相反，公司的方方面面，从一线员工到主管，都能享受到这些便利。将工作流程的各个方面进行数字化的举措将考虑到现场工作人员，并可以使用一套更为便利且相互协调的工具。从历史上看，技术从未进行实际应用，即使是这样，也会是一种过时的解决方案。将技术（特别是AI）掌握在员工手中，将有助于员工能够记录自己正在做的工作并有效地完成工作。从油井开发的不同阶段收集数据并将其汇总为一个信息源，有助于了解油井开发的全过程，该信息可以预测日常支出和预算等。最终，将AI的使用扩展到全企业范围的工具并协同所有员工的移动功能，充分利用全面改进流程的能力，提供详细和可定制的信息池。

简易培训

现场工作人员一直需求旺盛，并且教新员工如何正确完成工作并不是一件容易或快捷的任务。为了确保所有人员不仅了解工作流程，还了解安全知识，需要长时间的培训、适当的工具和有效的方法。使用在线学习可以更有效的进行岗前培训。在线学习是为年轻的员工量身定制的，培训形式更具互动性，包括视频和游戏化，以便更有效地吸引新员工。利用测验、获得徽章和提供证书可以检验学员的知识储备。这也可以加快培训过程，提供对工作的全面了解，防止重要因素被忽略或遗忘。在培训期间，不仅教授必要的技能，而且教授如何使用适当和必要的工具和技术，以便使工人能够在日常工作中熟练地使用这些工具，及时录入数据。总的来说，培训时间、风险和培训的复杂性都将减少。

在移动应用程序、人工智能和在线学习等因素的推动下，石油和天然气行业将继续发展。我相信，外勤业务将在明年甚至十年内采用这些做法，以便形成一个更加高效和有效的环境。

舒晓玲 摘译自 Offshore Energy

原文如下

Moving the Needle for Oil & Gas Technology

Technology in the oil and gas industry has been largely focused on digitizing processes and implementing Artificial Intelligence (AI) into the workflow. With the conclusion of another year, the next decade will continue to adopt even more changes with technology and expand on the tools already in place to make mobile field operations more efficient and effective.

Looking forward, here are three trends I foresee making an impact on the way businesses run in the oil and gas field:

Increased mobile capabilities

As technology improves, field personnel will experience increased mobility by utilizing mobile technologies in their everyday workflow. This includes using things like cell phones, iPads, or wearables in order to capture data and increase efficiency throughout the workday. Mobile capabilities will allow for improved processes to be implemented so that workers can make decisions quicker and speed up the overall procedures. This concept will be a motivator for businesses to be more efficient and effective in their everyday actions and operations.

AI enterprise-wide

AI will be implemented at an enterprise-wide level. Management won’t be the only one utilizing and benefitting from data in order to make decisions. Instead, all aspects of the company, from frontline workers to supervisors, will have access to these conveniences. Initiatives to digitalize aspects of the workflow process will take into account field workers and allow for a more convenient set of tools that all coincide with each other. Historically, technology has not been in fieldwork, or if so, it is an antiquated solution. Putting technology and more specifically AI in the hands of workers will empower personnel to document the work they are doing and finish the work effectively. Collecting data from different stages of the well and compiling them into one source of information helps tell an aggregate story that can predict things like daily spend and budget. Ultimately, increasing the use of AI to an enterprise-wide tool coincides with mobile capabilities for all workers, leveraging the ability for improved processes across the board and allows for a detailed and customized pool of information.

Condensed training

Field workers are consistently in demand and teaching new employees how to properly do the job is not an easy or quick task. It takes time, proper tools, and effective methods in order to make sure all personnel is informed on not only workflow processes but also safety expectations. Training for this position will be developed in a more efficient way with the concept of eLearning. The aspect of eLearning is tailored to a younger workforce with a more interactive form of training, involving videos and gamification in order to engage new employees more efficiently. The utilization of quizzes, earning badges, and providing certifications can determine the knowledge and preparation of a trainee. This can also speed up the training process and provide a well-rounded insight into the job, preventing important factors from being skipped over or forgotten. Teaching not only necessary skills but also how to use the proper and required tools and technologies in the training period will allow workers to be comfortable with using these tools in the everyday workflow and keep data flowing in. Overall, there will be a reduction in training time, risk, and the complexity of training.

With the factors of mobile applications, AI capabilities, and eLearning, the oil and gas industry will continue to develop. I believe mobile field operations will adopt these practices in the next year and even decade in order to become a more efficient and effective environment.