Physics guided data driven model to forecast production rates in liquid wells

U Sinha, H Zalavadia, S Sankaran - SPE Oklahoma City Oil and Gas …, 2023 - onepetro.org
In the development of shale plays, significant emphasis has been laid on forecasting well
performance based on rates and finding the expected ultimate recoveries. Specifically …

Merging physics and data-driven methods for field-wide bottomhole pressure estimation in unconventional wells

D Molinari, S Sankaran - … Technology Conference, 26–28 July 2021, 2021 - library.seg.org
Bottomhole pressure is an essential parameter to measure well performance, design and
optimize artificial lift and calculate well deliverability. However, it is rarely continuously …

A Reduced Physics Modeling Approach to Understand Multiphase Well Production Performance for Unconventional Reservoirs

D Molinari, S Sankaran - … Technology Conference, 26–28 July 2021, 2021 - library.seg.org
Understanding well production performance in unconventional reservoirs is fundamental for
achieving optimal field development and maximizing value. It is desired to have a robust and …

A Hybrid Data and Physics Modeling Approach Towards Unconventional Well Performance Analysis

D Molinari, S Sankaran, D Symmons… - SPE Annual Technical …, 2019 - onepetro.org
As unconventional reservoirs have become more challenging to develop and predict,
understanding well performance has proven to be essential for driving value. Though there …

[图书][B] Data Analytics in Reservoir Engineering

S Sankaran, S Matringe, M Sidahmed, L Saputelli… - 2020 - researchgate.net
Data Analytics in Reservoir Engineering Page 1 PetroBrief Data Analytics in Reservoir
Engineering Sathish Sankaran Sebastien Matringe Mohamed Sidahmed Luigi Saputelli …

An improved method for GOR forecasting in unconventionals

H Zalavadia, U Sinha, S Sankaran - … Technology Conference, 20–22 …, 2022 - library.seg.org
With the evolution of multi-stage hydraulic fracturing technique in unconventional reservoirs
and its rapid scale of implementation and development across shale plays, significant …

Unconventional well interference detection using physics informed data-driven model

U Sinha, PS Chauhan, H Zalavadia… - SPE/AAPG/SEG …, 2023 - onepetro.org
Well interference in unconventional reservoirs has been a pivotal issue due to its significant
impact on well productivity, estimated ultimate recovery, and field development economics …

Unlocking Unconventional Production Optimization Opportunities Using Reduced Physics Models for Well Performance Analysis–Case Study

S Sankaran, D Molinari, H Zalavadia… - International …, 2022 - onepetro.org
Economic pressure to improve production efficiency in unconventional reservoirs has met a
stiff challenge to scale up traditional reservoir modeling methods to the entire field for …

Improving artificial lift timing, selection, and operations strategy using a physics informed data-driven method

H Zalavadia, P Singh, U Sinha… - … Conference, 13–15 June …, 2023 - library.seg.org
Unconventional field production heavily relies on artificial lift, but with reservoir energy
depleting, efficiently and economically lifting oil and gas is one of the most difficult aspects of …

Using hybrid models for unconventional production opportunities and value generation—Case studies

H Zalavadia, T Stoddard, U Sinha… - … Conference, 20–22 …, 2022 - library.seg.org
There is an increasing need to produce unconventional reservoirs profitably with not as
many new wells drilled to stem production decline. Hence, there is a need to scale up …