Priority Refining

Geopolitics and regional realignment are disrupting industry dynamics. On March 10, 2026, America First Refineries (AFR) and India’s Reliance Industries reached a $300 billion partnership to build the first new refinery in the U.S. in nearly half a century at the Port of Brownsville, Texas—known as The Port of Brownsville Refinery Project. Former President Trump stated the project will strengthen U.S. energy security and create jobs.

AFR is an energy firm focused on leveraging domestic resources to advance U.S. energy dominance, aligned with the “America First” energy policy to boost national and economic security via increased domestic refining. It is the first and only refinery designed exclusively to process 100% U.S. light shale oil (average API gravity 47°). Compared to processing imported heavy crude, this facility offers cleaner operations, higher efficiency, and lower costs, aiming to become “the world’s cleanest refinery.”

Mukesh Ambani, Chairman of Reliance Industries, emphasized that India will become one of the world’s largest intelligence markets. Reliance has partnered with NVIDIA to establish an AI supercomputing center, and these technological reserves will directly support its massive refining investment project in the Port of Brownsville, USA.

On February 19, 2026, Indonesia and the U.S. signed the Agreement on Reciprocal Trade (ART), titled “An Agreement to Realize a New Golden Age of U.S.-Indonesian Alliance.” Under the pact, Indonesia will import $15 billion annually in U.S. energy commodities, including $3.5 billion in liquefied petroleum gas (LPG), $4.5 billion in crude oil, and $7 billion in refined products. This volume accounts for nearly half of Indonesia’s total oil and gas imports, significantly increasing U.S. procurement.

Amid the Middle East conflict, tanker traffic through the Strait of Hormuz faces severe restrictions; roughly 30% of global seaborne crude oil passes through this chokepoint. Indonesia plans to replace these Middle Eastern supplies with U.S. imports—a move that mitigates short-term supply disruptions while fulfilling trade commitments, but may reshape the nation’s energy trajectory. The ART’s energy provisions could boost U.S. oil exports to Indonesia by more than 12x.

This shift may secure physical import volumes but does not insulate Indonesia from global oil price volatility. If prolonged conflict and market swings keep prices elevated, U.S. suppliers may divert cargoes to buyers offering better terms, exposing Indonesia to dual risks of price volatility and supply competition.

In January 2026, Indonesia completed the Balikpapan Refinery Modernization Project (RDMP Balikpapan), raising processing capacity from 260,000 bpd to 360,000 bpd. The project aims to cut reliance on costly refined product imports by boosting domestic crude processing and LPG output (projected +4%), strengthening Indonesia’s energy leadership in Southeast Asia.

Resource Allocation

In resource allocation, AI acts as a “digital twin negotiator”, optimizing efficiency in asset sharing and pipeline access negotiations among joint ventures. In January 2026, Radhakant Kodukula, CTO of Antino, noted a key industry trend: AI now predicts crude oil quality and composition during seismic exploration, allowing downstream refineries to optimize blending strategies and maintenance schedules months in advance, enabling upstream-downstream synergy.

Safety Management

For safety, IoT-enabled wearables paired with AI-driven video analytics track worker behavior and site conditions in real time, precisely identifying hazards to prevent incidents. AutoEVTimes reports that by 2026, predictive maintenance will evolve beyond alerts to trigger autonomous actions: automatic parameter adjustments and dynamic work order re-prioritization based on asset risk.

Cost Control

Haier’s COSMOPlat developed a petrochemical large model with 38 intelligent agents, cutting labor and energy costs by 10% for operators. A case study from King Fahd University of Petroleum & Minerals shows AI-driven blending systems predict gasoline Anti-Knock Index (AKI) with near-laboratory accuracy (0.5 octane), drastically reducing quality-overrun waste.

Supply Chain

AI-IoT synergy is redefining refining’s production, management, and safety frameworks, shifting refineries from “fuel factories” to precision, intelligent “molecular refineries”. A Boston Consulting Group (BCG) report confirms that oil and gas firms fully adopting AI could see EBIT growth of 30%–70% over five years; the global oil and gas AI market is projected to reach $4.55 billion by 2026.

GM Piping is seizing opportunities in high-transparency, modular pipeline equipment. Leveraging the petrochemical sector’s transformation, the firm is further optimizing its proprietary “BNANGUO” AI model for broader industry application.

Carbon Management

In carbon management, AI powers self-learning carbon intelligence systems that track and optimize emissions across refineries, pipelines, and supply contracts in real time, supporting net-zero goals. GM Piping uses its specialized AI model alongside a global warehouse network to optimize logistics routes, cutting both carbon emissions and transportation costs.

By integrating its proprietary AI model across its extensive supply chain, GM Piping delivers custom-fit steel pipes, fittings, flanges, valves, and pipeline components for new refinery projects—including The Port of Brownsville Refinery Project and Indonesia’s RDMP Balikpapan. The firm offers one-stop solutions for cost control and carbon management in new refinery construction.