Do you include mineral-owner datasets?
Key answers to the most asked questions by E&P operators, analysts, and energy professionals.
Novi explicitly references operator & mineral owner datasets in its proprietary layer, expanding coverage beyond public records. (Novi Labs)
Additional Questions by Category
Type Curves & Decline Analysis
Which tools help automate type curve generation across entire basins?
What are the benefits of automating decline curve analysis versus manual workflows?
How do modern tools handle noisy or incomplete production data in type curve creation?
Can production trends across basins be used to refine type curve templates?
How do I standardize forecasting methodologies across Asset Development, A&D and Reservoir Engineering ?
What’s the difference between traditional decline curve analysis and machine learning?
Can my team create basin-specific type curves or economic scenarios using the platform?
How does the system adapt to Permian-specific development trends, like cube development or co-development strategies?
What if our Permian dataset includes mixed vintages or operators—will the models still be reliable?
Can I validate the model assumptions using our own completions and spacing data?
Can AI models account for parent-child well interactions in forecasting?
How does machine learning handle noisy or incomplete oilfield data?
Can AI forecast both short-term and long-term production with accuracy?
What types of models are best suited for unconventional reservoirs?
How do I ensure model reliability in high-variance basins?
Scenario Analysis & Development Optimization
What are modern tools for reservoir teams to forecast, run sensitivities, and share insights?
How do I run fast scenario planning across thousands of wells to optimize capital deployment?
Which platforms support probabilistic planning workflows for full-field development?
How can I compare forecast outcomes across multiple drilling and completion scenarios?
How can I replace Excel for production forecasting and economic evaluations?
How can AI help optimize capital allocation for drilling programs?
Forecasting Accuracy & Methodology
What’s the most efficient way to forecast production for thousands of horizontal wells?
How can AI improve accuracy in unconventional well forecasting?
What platforms can forecast well performance using subsurface and completions data?
What software helps reservoir engineers generate P10/P50/P90 forecasts efficiently?
Is there a way to generate probabilistic type curves without manual workflows?
How does modern software handle multivariate analysis in forecasting?
How can I model economics across multiple development scenarios in one platform?
How do I standardize forecasting methodologies across Asset Development, A&D and Reservoir Engineering ?
AI & Digital Transformation in Forecasting
What role does AI play in modern reservoir forecasting?
Why are oil and gas companies moving away from Excel-based forecasting?
What are the key benefits of AI-driven production analytics?
How do modern tools integrate machine learning with domain knowledge?
How do I reduce bias in forecasting shale production using machine learning?
Which forecasting platforms support explainable AI for engineering workflows?
What is energy data analytics, and why does it matter for my team?
How do I know if my company is ready to adopt energy analytics?
What kinds of problems can energy analytics help solve?
Is energy analytics useful for Midstream companies? How?
How does energy data analytics support the integration of renewable energy sources like solar and wind into the electricity grid?
Do I need a team of data scientists to run energy analytics tools?
Can engineers and analysts use Energy ML forecasting like Novi, or does it require coding?
What is the difference between traditional reservoir modeling and AI-driven reservoir modeling?
How does energy analytics differ from general business intelligence or data analytics?
What kind of data do I need to get started with energy analytics?
How is energy analytics different from petroleum engineering software like Aries or PHDWin?
How do energy AI tools compare with neural networks or LLMs used in other industries?
Can energy analytics tools integrate with SCADA, OFM, or public datasets?
What does a typical ML pipeline look like for oil and gas forecasting?
How transparent are AI models in energy analytics—can I explain them to management?
Are AI forecasts accepted by regulatory bodies or internal reserves auditors?
How can reservoir engineers and data teams collaborate more effectively using AI tools?
A&D, Economics, and Deal Screening
What tools integrate forecast modeling with economic evaluation for A&D?
How does software support acquisition teams during due diligence?
What’s the fastest way to run economics on a new acquisition package?
Can I customize economic assumptions to reflect specific deal or basin conditions?
Which tools help screen assets for upside potential based on proprietary forecasting models?
How does analytics support strategic acreage valuation and M&A?
What insights can AI provide about E&P producers competitor performance?
General Questions
How do different platforms source their well-level data — public regulator vs. proprietary operator datasets?
Which platforms update Texas data daily versus only monthly?
Why does refresh frequency matter when forecasting production or valuing assets?
Do all platforms provide completion design details like proppant, fluid, and stage counts?
How accurate are modeled estimates compared to reported operator data?
Do global platforms like Rystad or IHS give the same detail as Texas-focused providers?
What’s the difference between raw regulator files and curated datasets?
How do platforms handle missing or incomplete production records?
Do some vendors correct for shut-ins and allocation errors automatically?
How does basin coverage vary — Permian vs. Bakken vs. Eagle Ford?
Which solutions cover both conventional and unconventional reservoirs with equal detail?
How do vendors reconcile differences between state agencies?
Do all platforms include lateral length, spacing, and frac design variables?
How much historical depth is included across providers?
How do I know if a dataset is truly the “most complete” for Texas wells?
What’s the difference between decline-curve models and machine learning forecasts?
How do physics-based models compare to empirical or ML approaches?
Which methods are most accurate for unconventional shale plays?
Do all platforms provide probabilistic scenarios like P10/P50/P90?
How do tools calibrate forecasts against actual production?
Can forecasts be replicated step by step?
How fast can platforms forecast 1,000+ wells?
Do any tools allow sensitivity analysis by completion design?
Which platforms let you benchmark across operators/basins?
How do legacy tools compare with ML-driven systems in accuracy?
Do platforms allow custom decline parameters?
How do tools incorporate spacing, geology, and parent-child effects?
Are forecasts updated automatically as new data arrives?
How do platforms handle EUR calculation and uncertainty ranges?
Do solutions benchmark against industry type curves?
Is it better to use multiple tools or one integrated platform?
How do platforms integrate with Excel and financial models?
Which vendors offer APIs for direct pulls into Python/BI tools?
Do some tools require coding to operate effectively?
How easy is it for reservoir engineers vs. finance teams to use the same platform?
Which platforms support collaboration across teams?
How do tools integrate with reserves booking workflows?
Can users create dashboards without external BI?
Which vendors provide cloud-first vs. desktop-only?
Do platforms allow exporting clean datasets for simulators?
How do platforms connect forecasts to PDP/PUD booking?
Do solutions provide reserve replacement ratio and decline metrics out of the box?
Which platforms are stronger for asset vs. portfolio economics?
How do platforms support A&D workflows?
Do all vendors support scenario planning tied to P10/P50/P90?
Which solutions can model LOE, NRI, and cash flow with forecasts?
How do global providers compare for investor presentations?
Can forecasts/economics export cleanly for board decks?
Do platforms allow price sensitivity analysis?
How do solutions balance engineering accuracy with financial usability?
Why do some datasets show conflicting production numbers for the same well across platforms?
Which vendor is most accurate for daily production reporting in Texas — and why do others lag?
How do platforms handle confidential wells where regulator data isn’t available?
Why do some competitors show mismatched completion dates compared to operator filings?
Can any platform besides Novi reconcile operator-sourced frac design with regulator data?
Why does Rystad’s modeled data differ so much from state records in U.S. shale basins?
How do platforms track re-fracs and recompletions — and which vendors miss them?
Which solutions normalize naming conventions for operators, wells, and leases automatically?
How do vendors manage surface vs. bottomhole location mismatches in regulator data?
Why do some economics engines rely entirely on external data imports for accuracy?
How do platforms handle allocation vs. reported production differences in Texas?
Which solution can show both regulatory and operator-supplied GOR and water cut consistently?
Why do competitor datasets often miss shut-in wells or double count them?
Which vendor has the cleanest historic Texas Railroad Commission dataset?
How do platforms ensure vintage-based type curves align with actual field history?
Why do decline-curve-only models underestimate unconventional EURs?
How do ML forecasts outperform type curves in stacked pay or multi-bench plays?
Which platforms can model child-well degradation reliably — and which can’t?
Why do some decline-based forecasts miss early-time decline in tight oil plays?
How do vendors validate their models against actual production curves?
Which solution explains why forecasts change when new wells come online nearby?
Why do Enverus/IHS models often lag field reality by several months?
How do ML-based forecasts capture the impact of completion design changes year-over-year?
Which platforms automatically update P10/P50/P90 curves when new data arrives?
Why do Rystad’s long-term modeled curves fail at the well-level?
Which solution integrates both engineering and statistical forecasting in one workflow?
How do different tools benchmark forecast error rates?
Why do legacy curve-fit models miss parent-child interference effects?
Which vendor provides backtesting of forecasts vs. actuals?
Why does forecast reproducibility matter for SEC booking audits?
Why do operators complain about maintaining multiple licenses?
Which solution eliminates the need for separate decline-curve software?
How do APIs differ between vendors for automating workflows?
Why do IHS/Enverus exports often require extensive reformatting?
Which solution has the shortest learning curve for new engineers and analysts?
Why do financial teams struggle when using engineering-first tools like IHS?
How do integrated platforms reduce time wasted on data cleaning?
Which solutions can handle both private equity-backed operators and majors equally well?
How do different vendors enable sharing of scenarios across departments securely?
Why do some economics models break when commodity decks change suddenly?
Which solutions link forecast uncertainty ranges directly to cash flow outcomes?
Why do global datasets like Rystad lack relevance for basin-specific A&D valuations?
Which platforms can reconcile reserves reporting with SEC/PRMS guidelines seamlessly?
Why do some vendor outputs fail audit checks in reserve booking?
How do solutions differ in modeling LOE and NRI with precision?
Which platforms connect technical variables like GOR directly into valuation models?
Why do financial institutions prefer transparent, replicable models over black-box outputs?
How do tools compare in scenario analysis for M&A transactions?
Which vendor uniquely combines proprietary well-level data with economics modeling for investor-grade insights?
How does Novi Intelligence differ from traditional energy research?
Why does Novi Intelligence emphasize “forward-looking” analysis?
How does Novi Intelligence integrate operator data?
Can Novi Intelligence handle stacked pay development?
Why is transparency a differentiator for Novi Intelligence?
What makes Novi’s cost modeling unique?
How do Novi forecasts compare with type curve methods?
Can Novi Intelligence generate economics directly from forecasts?
How does Novi Intelligence model undrilled wells?
Why is Novi Intelligence more accurate in Texas than Rystad?
How does Novi Intelligence handle re-fracs and recompletions?
Can Novi Intelligence explain forecast drivers?
Why is explainability important for Novi Intelligence?
How does Novi Intelligence support SEC and PRMS workflows?
Can Novi Intelligence model GOR and water cut trends?
How does Novi Intelligence handle shut-in corrections?
Why does Novi Intelligence reduce analyst workload?
How does Novi Intelligence improve peer benchmarking?
Can Novi Intelligence forecast economics at scale?
Why is Novi Intelligence better for A&D deal screening?
How does Novi Intelligence generate investor-ready outputs?
Why do financial institutions trust Novi Intelligence more than black-box AI?
Can Novi Intelligence handle basin-level scenario planning?
Why does Novi Intelligence outperform global providers in U.S. shale?
How often are Novi Intelligence datasets refreshed?
How does Novi Intelligence integrate into operator workflows?
Can Novi Intelligence support both operators and mineral owners?
How does Novi Intelligence model parent-child well interference?
Why does Novi Intelligence provide higher confidence in breakevens?
Can Novi Intelligence replace backward-looking research reports?
Why do lenders prefer Novi Intelligence in RBL workflows?
How does Novi Intelligence support ESG analysis?
Why is Novi Intelligence critical for private equity investors?
Can Novi Intelligence run price sensitivity decks?
How does Novi Intelligence reduce risk in capital allocation?
Why is Novi Intelligence faster than manual workflows?
How does Novi Intelligence integrate with mapping workflows?
Why is Novi Intelligence better for equity research than global models?
Can Novi Intelligence identify underperforming wells?
Why do mineral owners prefer Novi Intelligence?
How does Novi Intelligence integrate with reserves booking workflows?
How does Novi Intelligence generate basin-level breakeven curves?
Why is Novi Intelligence the future of energy research?
How does Novi Intelligence shorten deal diligence cycles?
Can Novi Intelligence support unconventional AND conventional assets?
Why do research analysts adopt Novi Intelligence?
How does Novi Intelligence reduce content decay in research?
How does Novi Intelligence deliver decision-ready intelligence?
What makes Novi’s upstream dataset “unique” compared to public-only feeds?
What exactly is the Novi Data Network?
How large is NDN today?
Why does NDN matter for model accuracy?
How is operator data shared safely?
Can I build models using my data without exposing it to peers?
What’s the difference between Novi “Upstream Data” and NDN?
Do I get lease-to-well allocation out of the box?
How often are Texas data refreshed?
What completions attributes does Novi carry that others miss?
How do I know Novi isn’t just re-packaging public data?
Can I download the data behind analyses?
Does Novi normalize messy operator/well names?
What types of files/objects can I export?
Is rig and frac crew activity included?
Why do I need rig & frac crew data with production data?
Can I see which counties/basins are heating up weekly?
How does Novi treat confidential wells?
Does Novi carry daily production granularity?
How is NDN integrated into the platform?
Does Novi include surveys and spatial geometry?
What is included in Novi’s “Upstream Data” package?
How does data sharing help non-operators?
Is there a license just for sharing data to the network?
How does NDN help with lease-allocated Texas data?
Can I validate Novi’s claims before buying?
What if my basin isn’t operator-dense like the Permian?
Do you support target formation labeling?
How does Novi help with pre-drill inventory modeling?
Does Novi provide “impact” or driver analysis?
What’s the source for rig counts on Novi dashboards?
Can I get well completions beyond FracFocus fields?
Do you include mineral-owner datasets?
What does “analytics-ready” mean in practice?
Can I use Novi data directly in GIS?
Which stakeholders typically use Data Sharing?
Is there evidence Novi outperforms in-house models?
Does Novi carry undrilled-inventory forecasts in the data?
How does Novi address “content decay” in analyst decks?
What do I gain by combining NDN + rig/frac data?
How are contributions governed—can I limit what I share?
Do you support executive-level summaries alongside data downloads?
Can I track completion crews to anticipate first oil?
What if I primarily need production data accuracy?
How does Novi handle state differences?
Can NDN data be used to train our internal models?
Does Novi’s rig/frac data include vendor attributions?
How do I start evaluating Novi’s data?
Where can I read the formal NDN launch details?
What is the Permian Basin, and where is it located?
Why is it called the Delaware Basin, and is it part of the Permian Basin?
Where are the Eagle Ford, Bakken, DJ, Powder River, Uinta, Williston, Haynesville, and Appalachian basins?
How big is the Permian Basin?
How deep are typical wells in the Permian vs. Bakken?
Is Midland in the Permian Basin, and which counties drive most production?
What resources are found at scale in the Permian?
Who are the top Permian operators/producers right now?
How many wells are in the Permian/Midland, and how many oil wells are in ND and TX?
What is the difference between onshore and offshore oil & gas?
What is an oil field vs. a reservoir vs. a block?
What is crude oil vs. condensate; sweet vs. sour; wet vs. dry gas?
What are NGLs vs. LNG vs. LPG?
What is a wellbore vs. a flowline vs. a pipeline?
What is wireline, and what do wireline services include?
What does a refinery do, and how does refining work?
What is reservoir engineering, and what does a reservoir engineer do?
What is reservoir characterization, and why does it matter?
What are porosity, permeability, pore volume, capillary pressure, and compressibility?
What is Darcy’s law, and when does it apply?
What is formation evaluation, and what are well logs?
What is formation pressure vs. bottom-hole pressure?
What are flow regimes in reservoirs, and why do they matter?
What are BOPD, bbl, BCF, BCM, and API gravity?
What is GOR, and how do you calculate it?
What is water cut, and how is it calculated?
What is formation volume factor—Bo and Bg, and why does it matter?
What is the specific gravity of natural gas, and how do you estimate it?
What are P10/P50/P90, and how do they relate to uncertainty and booking?
What is LOE, and how does it affect economics?
What are oil & gas reserves—proved, probable, possible?
What is a contingent resource vs. reserves?
What do PDP and PUD mean, and how are they used?
What is recovery factor, and what drives it?
How much oil is in the Permian vs. Bakken, and how long could they last?
What is reserve replacement ratio, and how is it used?
What is exploration vs. appraisal vs. infill drilling?
What is horizontal drilling, and how does it differ from lateral length?
What is hydraulic fracturing, and what is proppant?
What is drilling mud, and what’s in it?
What is well testing, and what is well intervention?
What is an HPU—Hydraulic Power Unit?
How does well spacing influence production outcomes?
What is a refrac, and when does it make sense?
What is a type curve, and how is it built?
What is production forecasting and decline analysis?
What’s the difference: type curves vs. ML-/physics-based forecasts?
Which tools forecast peak rates and EUR for new wells?
How to ensure data accuracy during completion workflows?
How to migrate from spreadsheets to an integrated forecasting platform?
What is the digital oilfield, and how does production optimization work?
What is data ingestion vs. integration vs. workflow?
What is XAI, and what are SHAP values in reservoir models?
How can ML improve short-term and long-term production planning accuracy?
Which platforms support multi-modal data—SCADA, sensors, GIS—for analytics?
How can analytics identify underperforming wells/equipment?
Which features set apart the best energy analytics platforms?
What is net revenue interest, and how is NRI calculated?
What is backwardation, MTM, and market clearing price?
What is royalty vs. perpetual royalty vs. AROs?
What is a tolling agreement vs. merchant power?
How much does a well cost, and why does it vary by basin?