Research Methodology

Angola LNG Intelligence is built on a foundational commitment to methodological rigor, transparency, and reproducibility. Every article, dataset, analysis, and intelligence briefing we publish undergoes a structured research process designed to ensure accuracy, minimize bias, and provide our readers with actionable insights grounded in verifiable evidence. This page provides a detailed description of our research methodology, from initial data collection through final publication, so that readers can evaluate the reliability of our findings and hold us accountable to the standards we set for ourselves.

Guiding Principles

Our research methodology is governed by five core principles that inform every decision we make about what to investigate, how to gather evidence, and when to publish:

Empirical Rigor — We prioritize primary data over secondary commentary. Wherever possible, our analyses are built on direct observation, official filings, satellite imagery, regulatory disclosures, and firsthand testimony rather than aggregated or interpreted data from third-party sources. When we must rely on secondary sources, we cross-reference them against at least two independent corroborating sources before incorporating them into our published work.

Independence — Angola LNG Intelligence operates independently of the Angola LNG consortium, its shareholders (Chevron, Sonangol, BP, Eni, and TotalEnergies), the Angolan government, and any other entity with a financial or political interest in the project. We do not accept funding, sponsorship, or advertising revenue from any company or organization involved in Angola LNG operations. This financial independence is essential to our ability to publish findings that may be critical of powerful stakeholders.

Transparency — We believe that our readers have a right to understand not only what we have found but how we found it. Every substantive claim in our published work is accompanied by a citation, a methodological note, or both. When we use proprietary analytical models, we describe their inputs, assumptions, and limitations in sufficient detail for a technically literate reader to evaluate their validity. When we cannot disclose a source for reasons of confidentiality, we explain why and describe the steps we took to verify the information independently.

Proportionality — We calibrate the depth and intensity of our research to the significance of the question under investigation. Routine operational updates receive a standard verification process. Major investigative findings — such as allegations of environmental violations, governance failures, or community harm — undergo an enhanced verification process that includes additional layers of review, legal consultation, and, where appropriate, right-of-reply opportunities for the entities concerned.

Continuous Improvement — Our methodology is not static. We regularly review and update our research protocols to incorporate new data sources, analytical techniques, and lessons learned from past errors or oversights. We maintain a methodology changelog that documents significant updates to our research processes, which is available to readers upon request.

Data Collection Framework

Our data-collection framework is organized into six primary channels, each of which contributes distinct types of information to our analytical pipeline.

Official Filings and Regulatory Disclosures

We systematically monitor and archive official filings, regulatory submissions, and public disclosures from the following categories of institutions:

• Angola LNG consortium members — Annual reports, sustainability reports, 10-K and 20-F filings (for US-listed entities), CDP (formerly Carbon Disclosure Project) responses, and voluntary disclosures to industry initiatives such as the Oil and Gas Methane Partnership 2.0
• Angolan government agencies — Ministerial decrees, environmental impact assessments, production-sharing contract amendments, and official statistical publications from the Ministry of Mineral Resources, Petroleum, and Gas (MIREMPET), the National Oil, Gas, and Biofuels Agency (ANPG), and the Ministry of Environment
• Multilateral institutions — World Bank project documents, International Finance Corporation performance standards assessments, African Development Bank evaluations, and United Nations Framework Convention on Climate Change (UNFCCC) national communications and biennial update reports submitted by the Republic of Angola
• Securities regulators — Filings with the US Securities and Exchange Commission, the UK Financial Conduct Authority, and Euronext for consortium members listed on those exchanges

We maintain a structured database of these filings, organized by entity, date, document type, and thematic relevance. This archive enables longitudinal analysis — tracking how disclosures evolve over time and identifying discrepancies between commitments made in earlier filings and outcomes reported in subsequent ones.

Satellite Remote Sensing and Geospatial Data

Satellite imagery and geospatial data have become indispensable tools for independent environmental monitoring of oil and gas operations. Angola LNG Intelligence uses satellite data for three primary analytical applications:

Flaring Detection and Quantification — We use infrared satellite data from the Visible Infrared Imaging Radiometer Suite (VIIRS) aboard the Suomi NPP and NOAA-20 satellites to detect and quantify gas flaring at the Angola LNG Soyo terminal and associated upstream production facilities. VIIRS nightfire data provides detection of individual flare sites with estimated radiative power, which we convert to estimated gas flaring volumes using peer-reviewed calibration methodologies. We cross-reference VIIRS detections with data from the Sentinel-3 Sea and Land Surface Temperature Radiometer (SLSTR) to improve spatial resolution and reduce false-positive rates.

Land-Use Change Monitoring — We use multispectral optical imagery from the Sentinel-2 constellation and commercial very-high-resolution providers to monitor land-use changes in the vicinity of Angola LNG facilities, including vegetation clearing for construction activities, pipeline right-of-way maintenance, and the expansion of associated infrastructure such as roads, jetties, and worker camps.

Maritime Traffic Analysis — We track LNG carrier movements to and from the Soyo terminal using Automatic Identification System (AIS) data, supplemented by synthetic aperture radar (SAR) imagery from Sentinel-1 for detecting vessels that may have disabled their AIS transponders. Cargo tracking data enables us to estimate export volumes, identify trade-flow patterns, and monitor vessel turnaround times as proxies for operational efficiency.

Our geospatial analysis pipeline includes automated quality-control checks for cloud cover, sensor calibration drift, and geometric distortion. All satellite-derived estimates are reported with associated uncertainty ranges, and we publish our calibration parameters and processing algorithms in our methodological appendices.

Field Observation and Ground-Truth Verification

Satellite data, while powerful, has inherent limitations in spatial resolution, temporal frequency, and the types of phenomena it can detect. To address these limitations, we supplement remote-sensing data with field-based observation and ground-truth verification activities. These activities may include:

• Visits to publicly accessible areas in proximity to Angola LNG facilities to observe operational conditions, environmental impacts, and community dynamics firsthand
• Interviews with community members, local officials, civil-society representatives, and former employees of Angola LNG and its contractors
• Collection of environmental samples (air quality, water quality, soil composition) by qualified technicians using calibrated instruments, with samples analyzed at accredited laboratories
• Photographic and video documentation of observable conditions at facility boundaries, along pipeline corridors, and in affected communities

Field observations are documented using standardized data-collection protocols that capture location (GPS coordinates), date and time, observer identity, environmental conditions, and detailed narrative descriptions. All field data is geotagged and archived in our secure research database.

We recognize that field access in Angola can be constrained by logistical, regulatory, and security considerations. When direct field observation is not feasible, we rely on trained local observers who follow our standardized protocols and whose observations are independently verified through cross-referencing with satellite data, documentary evidence, and other sources.

Industry and Market Intelligence

Our analysis of Angola LNG’s commercial operations, competitive position, and strategic trajectory draws on a wide range of industry and market intelligence sources:

• LNG market data providers — We subscribe to leading commercial data services that track LNG spot and term contract prices, shipping rates, regasification terminal utilization, and global supply-demand balances. We use this data to contextualize Angola LNG’s commercial performance within the broader global LNG market
• Industry conferences and technical symposia — Our analysts attend and report on major industry events, including Gastech, LNG Producer-Consumer Conference, Africa Oil Week, and specialized technical workshops organized by the Society of Petroleum Engineers, the International Gas Union, and similar bodies
• Patent filings and technical literature — We monitor patent applications and peer-reviewed technical publications related to LNG processing technologies, flare-gas recovery systems, carbon capture and storage, and other technologies relevant to Angola LNG’s current and planned operations
• Trade press and specialist media — We maintain curated monitoring lists of energy-sector trade publications, financial newswires, and specialist media outlets that cover developments relevant to Angola LNG and its shareholders

Stakeholder Engagement Data

Understanding the social dynamics around Angola LNG operations requires systematic engagement with a diverse range of stakeholders. Our stakeholder engagement activities generate qualitative and quantitative data that informs our community-impact assessments, social-license analyses, and governance evaluations.

Stakeholder categories we engage with include:

• Residents of communities in Zaire Province directly affected by Angola LNG operations, including Soyo, Mangue Grande, Kinsala, and surrounding villages
• Traditional leaders and community elders who serve as custodians of local knowledge and mediators of community concerns
• Local and provincial government officials responsible for land management, environmental regulation, public health, and economic development
• Civil-society organizations working on environmental justice, human rights, transparency, and governance in Angola’s extractive industries
• Workers and former workers employed by Angola LNG and its construction, maintenance, and logistics contractors
• Small-business owners and entrepreneurs whose livelihoods are affected — positively or negatively — by the presence of LNG operations in the region

All stakeholder engagement activities are conducted in accordance with the principles of free, prior, and informed consent. Participants are informed of the purpose of the research, how their input will be used, and their right to withdraw at any time. Where participants request anonymity, we assign pseudonyms and remove identifying details from our published work.

Open-Source Intelligence (OSINT)

We maintain an active open-source intelligence capability that monitors publicly available information across digital platforms for developments relevant to Angola LNG. This includes:

• Social media monitoring for posts, photographs, and videos shared by workers, community members, and visitors to Angola LNG facilities and surrounding areas
• Job postings and procurement tenders published by Angola LNG, its shareholders, and their contractors, which can provide early indicators of operational changes, expansion plans, or workforce restructuring
• Court filings, arbitration proceedings, and regulatory enforcement actions involving Angola LNG consortium members
• Academic research and dissertations related to Angola’s oil and gas sector, environmental governance, and community development

Open-source intelligence is treated as supplementary to our primary data-collection channels. OSINT findings are always corroborated through at least one independent source before being incorporated into published analyses.

Analytical Frameworks

Raw data, regardless of its quality, is of limited value without rigorous analytical frameworks to transform it into meaningful insights. Angola LNG Intelligence employs several structured analytical frameworks, each tailored to specific categories of research questions.

Environmental Performance Analysis

Our environmental performance analyses are structured around a hierarchy of indicators that progress from direct measurement to modeled estimation:

Tier 1 — Direct Measurement — Where direct measurement data is available from official monitoring stations, regulatory filings, or our own field instruments, we use these measurements as the primary basis for our analysis. Direct measurements carry the lowest uncertainty and the highest evidentiary weight in our analytical framework.

Tier 2 — Remote-Sensing Estimation — Where direct measurement data is unavailable or incomplete, we use satellite-derived estimates calibrated against available ground-truth data. Remote-sensing estimates carry moderate uncertainty, which we quantify and report using established statistical methods.

Tier 3 — Engineering Calculation — Where neither direct measurement nor remote-sensing data is available, we use engineering calculations based on equipment specifications, throughput data, and emission factors published by recognized authorities (IPCC, EPA, API). Engineering calculations carry the highest uncertainty, and we clearly identify when our analyses rely on this tier of evidence.

All environmental performance analyses include sensitivity analyses that test how our conclusions would change under different assumptions about key input parameters. This approach ensures that our findings are robust to reasonable variations in data quality and methodological choices.

ESG Rating Methodology

Our proprietary ESG rating framework for Angola LNG evaluates performance across 42 individual indicators organized into three pillars:

Environmental Pillar (16 indicators) — Covering greenhouse gas emissions (Scope 1, 2, and estimated Scope 3), flaring volumes and intensity, methane leak detection and repair, water consumption and discharge, biodiversity impact, waste management, and environmental incident frequency and severity.

Social Pillar (14 indicators) — Covering occupational health and safety, workforce diversity and localization, community investment and benefit-sharing, grievance mechanism effectiveness, human rights due diligence, land acquisition and resettlement practices, and cultural heritage protection.

Governance Pillar (12 indicators) — Covering corporate governance structure, anti-corruption controls, lobbying and political engagement disclosure, tax transparency, regulatory compliance history, joint-venture governance effectiveness, and stakeholder engagement quality.

Each indicator is scored on a standardized scale using defined criteria that are published in our ESG methodology document. Indicator scores are aggregated into pillar scores and an overall ESG rating using a weighted-average methodology. The weights assigned to each indicator and pillar are reviewed annually by our research advisory panel and updated to reflect evolving best practices and stakeholder priorities.

Financial and Commercial Analysis

Our financial and commercial analyses of Angola LNG operations employ standard techniques drawn from energy-sector financial analysis:

• Discounted cash-flow modeling to estimate project net present value under various price, production, and cost scenarios
• Breakeven analysis to determine the LNG price required to cover operating costs, capital recovery, and fiscal obligations under different contractual and regulatory assumptions
• Comparative benchmarking against peer LNG projects in Sub-Saharan Africa (Mozambique LNG, FLNG Hilli Episeyo, Greater Tortue Ahmeyim) and globally
• Trade-flow analysis using cargo-tracking data to map Angola LNG’s commercial relationships and market positioning
• Fiscal regime analysis examining the distribution of project revenues among the consortium partners, the Angolan government (through Sonangol’s equity stake, royalties, taxes, and production-sharing mechanisms), and other stakeholders

Stakeholder and Political Economy Analysis

Our stakeholder and political economy analyses draw on established frameworks from the fields of political science, institutional economics, and conflict analysis:

• Stakeholder mapping that identifies key actors, their interests, their influence, and their relationships to one another
• Institutional analysis examining the formal and informal rules, norms, and enforcement mechanisms that govern the behavior of actors in the Angola LNG ecosystem
• Political economy assessment that examines how the distribution of costs and benefits from LNG development is shaped by power dynamics, institutional capacity, and governance quality
• Conflict-sensitivity analysis that evaluates how Angola LNG operations interact with existing social tensions, historical grievances, and potential sources of instability in Zaire Province

Verification and Quality Assurance

Every piece of analysis published by Angola LNG Intelligence undergoes a multi-stage verification and quality-assurance process before it reaches our readers.

Source Verification

All sources cited in our published work are evaluated against four criteria:

1. Provenance — Is the source an original, primary document (e.g., a regulatory filing, a satellite image, a direct interview transcript), or is it a secondary or tertiary interpretation of primary data? Primary sources receive the highest evidentiary weight.

2. Authority — Does the source have the institutional standing, technical expertise, or direct knowledge to credibly provide the information in question? We distinguish between authoritative sources (e.g., official statistical agencies, peer-reviewed journals) and non-authoritative sources (e.g., social media posts, anonymous tips) and weight them accordingly.

3. Corroboration — Has the information been independently confirmed by at least one additional source? Our standard requires dual-source corroboration for routine factual claims and triple-source corroboration for claims that are contested, sensitive, or potentially damaging to identified entities or individuals.

4. Recency — Is the information current, or has it been superseded by more recent data? We maintain version-controlled archives of key datasets and documents to ensure that our analyses reflect the most current available information.

Peer Review

Major research reports, ESG rating updates, and investigative findings undergo internal peer review by at least one analyst who was not involved in the original research. The peer reviewer evaluates the work against the following checklist:

• Are all factual claims supported by cited sources that meet our source-verification criteria?
• Are the analytical methods appropriate for the research question, and have they been applied correctly?
• Are the conclusions logically supported by the evidence presented, and do they avoid overstatement or unsupported extrapolation?
• Have alternative interpretations of the evidence been considered and addressed?
• Are uncertainty ranges, caveats, and limitations clearly communicated?
• Does the work comply with our editorial style guide and data-presentation standards?

Peer reviewers have the authority to request revisions, additional evidence, or methodological changes before approving a piece for publication. Disagreements between authors and reviewers are resolved by the editorial director, whose decision is final.

Legal Review

Any published work that contains allegations of wrongdoing, legal violations, or other potentially defamatory claims undergoes legal review before publication. Our legal review process evaluates:

• Whether the factual basis for the claims meets the evidentiary standards required by applicable defamation and libel laws
• Whether the right of reply has been offered to entities or individuals who are the subject of critical findings
• Whether the publication poses any risks related to national security laws, confidentiality obligations, or source-protection commitments
• Whether appropriate caveats and qualifications have been included to ensure that allegations are not presented as established facts until they have been adjudicated by competent authorities

Data Integrity Controls

Our data-management infrastructure includes the following integrity controls:

• Version control — All datasets, analytical models, and published content are maintained in version-controlled repositories that preserve a complete audit trail of changes
• Backup and redundancy — Research data is stored in encrypted, geographically redundant storage systems with automated daily backups
• Access controls — Access to raw data, unpublished analyses, and source-identification information is restricted on a need-to-know basis
• Retention policies — We maintain defined retention periods for different categories of data, balancing the need for longitudinal analysis against data-minimization principles

Limitations and Uncertainty

No research methodology is perfect, and we believe it is essential to be transparent about the limitations of our approach.

Access constraints — Independent research on the extractive industries in Angola operates within a constrained information environment. Official data can be incomplete, delayed, or unavailable. Physical access to facility perimeters and affected communities may be restricted. These constraints mean that some of our analyses necessarily rely on estimation, inference, and modeling rather than direct measurement.

Satellite data limitations — Satellite remote sensing, while powerful, has inherent limitations in spatial resolution, temporal coverage, and sensitivity to atmospheric conditions. Cloud cover, in particular, can reduce the frequency of usable observations over the Soyo terminal and offshore production platforms. We report observation gaps and their potential impact on our estimates.

Selection bias in stakeholder engagement — The stakeholders who are willing and able to engage with our research team may not be representative of the broader population affected by Angola LNG operations. Individuals who fear retaliation, who lack access to communications technology, or who are geographically isolated may be underrepresented in our engagement data. We attempt to mitigate this bias through purposive sampling and community-based outreach, but we cannot eliminate it entirely.

Modeling uncertainty — Our environmental, financial, and stakeholder analyses frequently rely on models that simplify complex real-world systems. All models involve assumptions, and different assumptions can lead to different conclusions. We address this limitation by conducting sensitivity analyses, reporting uncertainty ranges, and clearly documenting our assumptions.

Language and cultural barriers — While members of our team are proficient in Portuguese and have experience working in the Angolan context, language and cultural differences can introduce nuances in interpretation that we may not fully capture. We mitigate this risk by engaging local researchers and cultural advisors, but we acknowledge that some degree of interpretive uncertainty is inherent in cross-cultural research.

Methodology Updates and Changelog

Our methodology evolves as we incorporate new data sources, refine our analytical techniques, and learn from experience. Significant updates to our methodology are documented in a changelog that records the date of the change, the nature of the modification, and the rationale behind it.

Readers who wish to access our methodology changelog, request additional methodological documentation, or provide feedback on our research approach are encouraged to contact us at info@angolalng.org with the subject line “METHODOLOGY INQUIRY.”

We are committed to continuous improvement and welcome constructive criticism of our methods from fellow researchers, subject-matter experts, and informed members of the public. Our credibility depends on the rigor of our methods, and we will always choose transparency over convenience.