About Us

Providing strategic energy resources, and smart technologies

Founded in 2008, Waviv Technologies is headquartered in Jakarta and Bandung. Initially specializing in geophysical survey consulting and seismic processing, Waviv shifted its focus to G&G analysis in 2014. Our research team has pioneered several seismic data enhancement technologies, including Stochastic Full-waveform Inversion (2008) and WaveTomo, a Helmholtz solver-based full-waveform inversion software. These technologies have evolved into comprehensive suites, including SARP, DRECT, and HIT.

Since 2021, Waviv has been the exclusive distributor of Halliburton-Landmark products in Indonesia. Landmark-Halliburton software offers a range of solutions for the oil and gas industry, focusing on exploration and production (E&P). Notable Landmark products include DecisionSpace, EDM (Engineer’s Data Model), and Nexus. Our premier software products, powered by machine learning and AI, are trusted by industry leaders like Geosurvai, Know-AI, and Cerebro.

Distributor of Halliburton-Landmark Software

ML/AI Application

Geological and Geophysical (G&G)

Project Management

Field Cloud

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15+

years of experience

Top Management Team

Powerful and Professional Peoples in Our Team

Our team is composed of passionate, innovative, and highly skilled professionals dedicated to delivering exceptional results. With a diverse range of expertise, we collaborate strategically to drive success and exceed client expectations. We thrive on creativity, adaptability, and a results-oriented approach, ensuring that every project is executed with precision and care.

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Some Important FAQ's

Common Frequently Asked Questions?

In the oil, gas, and coal mining industries, digital technologies like machine learning (ML) and artificial intelligence (AI) enhance efficiency and decision-making. They enable predictive maintenance, optimize resource allocation, and improve safety by analyzing real-time data, ultimately reducing costs and minimizing environmental impacts while boosting productivity and sustainability.

Have Any Questions

A: Machine learning can analyze vast amounts of geological data, enabling more accurate predictions of resource locations and reducing exploration costs. By identifying patterns and anomalies in data, ML algorithms can enhance drilling efficiency and optimize production strategies, ultimately leading to increased yield and lower operational risks.

A: AI can improve risk management by automating data analysis and identifying trends that may indicate potential risks. Through advanced algorithms, AI systems can detect fraudulent activities, assess credit risks, and model market volatility, allowing financial institutions to respond proactively and make more informed decisions regarding investments and lending practices.

A: Machine learning optimizes supply chain logistics in coal mining by predicting demand patterns and optimizing inventory levels. By analyzing historical data, ML models can forecast operational needs, enhance transportation efficiency, and reduce costs associated with overstocking or stockouts, ensuring timely delivery and improved overall supply chain performance.

A: AI enhances military decision-making by providing real-time data analysis and actionable insights. Machine learning algorithms can process intelligence reports, satellite imagery, and sensor data to identify threats, optimize resource allocation, and support strategic planning. This capability improves situational awareness and helps military leaders make informed decisions quickly and effectively.