在内蒙古草原深处，一种全新的生产模式正在铺开：抽油机根据井下供液能力自动调节转速，光伏板为生产提供绿电，每台设备运行数据实时传回中控平台。

Deep in the grasslands of Inner Mongolia, a brand-new production model is unfolding: the pumping units automatically adjust their rotational speed based on the liquid supply capacity underground, and the photovoltaic panels provide green electricity for the production process. The operation data of each device is transmitted back to the central control platform in real time.

截至4月中旬，中国石油华北油田二连分公司阿尔、宝力格、锡林等油区的272台抽油机正进行柔性控制节能改造，平均单井节电可达15%以上。

As of mid-April, 272 pumping units in the Al, Baolige and Xilin oil areas of the Erlian Branch of China National Petroleum Corporation's North China Oilfield are undergoing flexible control energy-saving renovations. On average, each well can save over 15% of electricity.

当前，国家“双碳”转型已进入攻坚期，碳排放管控从宏观蓝图变为刚性约束。作为深耕多年的老油田，华北油田正主动破局、先行探索，以数字化技术为底座，在二连油田探索老油田低碳转型“数驱”新路径。

Currently, the country's "carbon neutrality" transformation has entered a critical stage, with carbon emission control shifting from a broad blueprint to strict constraints. As an established oilfield that has been deeply engaged for many years, the North China Oilfield is actively seeking solutions and pioneering exploration. Based on digital technology, it is exploring a new path for the low-carbon transformation of old oilfields in the Erlian Oilfield.

与以往修修补补式改造不同，新一代老油田低碳转型，呈现出清晰的逻辑跃迁。立足二连油田生产实际，华北油田坚持“数驱低碳、精准节能”理念，构建“感知—分析—调控”一体化的自控体系，让数据成为低碳转型的“导航仪”和“催化剂”，推动生产区从“经验运维”向“数字管控”、从“粗放耗能”向“精准节能”转变。

Unlike previous piecemeal renovations, the low-carbon transformation of the new generation of old oil fields presents a clear logical leap. Based on the actual production situation of Erlian Oilfield, the North China Oilfield adheres to the concept of "digital drive low-carbon and precise energy conservation", and builds an integrated self-control system of "perception - analysis - regulation", making data the "navigator" and "catalyst" for the low-carbon transformation, and promoting the production area to transform from "experience operation and maintenance" to "digital control", and from "wasteful energy consumption" to "precise energy conservation".

数字化管控持续发力，打造生产“智脑”。二连油田正积极搭建井站线一体化平台，通过新增226台高清网络摄像机、接入238台现有摄像机，并扩充2台存储服务器和4台算力服务器，为平台提供坚实的硬件支撑。

Digital control continues to make significant progress, creating a "brain" for production. The Erlian Oilfield is actively building an integrated platform for well stations and lines. By adding 226 high-definition network cameras, connecting 238 existing cameras, and expanding 2 storage servers and 4 computing servers, it provides solid hardware support for the platform.

平台建成后将具备数据采集、实时监测、智能分析、自动调控、报表生成、预警推送等核心功能，支持PC端和移动端APP同步操作，实现采油生产全环节的数字化管控。同时结合AI智能分析与自控预警功能，可自动识别违规操作、设备异常、火灾泄漏等异常情况，实现“自动识别、自动报警、自动联动”。

After the platform is built, it will possess core functions such as data collection, real-time monitoring, intelligent analysis, automatic control, report generation, and warning push. It supports simultaneous operation on both the PC and mobile APPs, enabling digital control of the entire oil production process. Additionally, by integrating AI intelligent analysis and automatic control warning functions, it can automatically identify abnormal situations such as improper operations, equipment malfunctions, fire and leakage, achieving "automatic identification, automatic alarm, and automatic linkage".

在传输层面，正加速构建“5G+物联网”融合网络，偏远井场采用无线传输模块，让每台设备、每个站点都成为可感知、可管控的“神经元”。

At the transmission level, efforts are being made to accelerate the construction of a "5G + Internet of Things" integrated network. Remote well sites are equipped with wireless transmission modules, enabling each device and each site to become perceivable and controllable "nerve cells".

针对“耗能大户”进行工艺升级。在集输环节，二连油田针对传统燃油加热能耗高、污染大、调控不精准等问题，计划新增66台电磁加热器，替代传统燃油加热。与“一刀切”的加热模式不同，数字化自控系统通过温度传感器实时采集参数，自动调节加热功率，确保温度偏差控制在±1℃以内，实现“按需加热、精准耗能”。

Upgrade the processes of "energy-consuming heavy industries". In the transportation and transmission stage, the Erlian Oilfield plans to add 66 electromagnetic heaters to replace the traditional fuel heating. This is to address the issues of high energy consumption, significant pollution, and inaccurate regulation in traditional fuel heating. Unlike the "one-size-fits-all" heating mode, the digital automatic control system collects parameters in real time through temperature sensors and automatically adjusts the heating power, ensuring that the temperature deviation is controlled within ±1℃, achieving "on-demand heating and precise energy consumption".

在机采环节推进272台抽油机柔性控制节能改造，通过物联网实时采集运行数据，自动识别“大马拉小车”、空抽等异常工况，灵活调整冲次、冲程。当油井供液能力下降时，系统自动切换至“快抽慢放”模式，在降低能耗的同时提升原油产量，实现柔性启停、精准调控。

In the mechanical extraction process, 272 pumping units underwent flexible control energy-saving renovations. Through real-time data collection via the Internet of Things, abnormal conditions such as "large engine pulling a small vehicle" and empty pumping were automatically identified. The stroke and stroke length could be flexibly adjusted. When the liquid supply capacity of the oil well decreased, the system automatically switched to the "fast pumping and slow release" mode, reducing energy consumption while increasing crude oil production, and achieving flexible start-stop and precise regulation.