A. Alkhatib

发表

Examining Crowd Work and Gig Work Through the Historical Lens of Piecework

Michael S. Bernstein, Ali Alkhatib, Margaret Levi, 2017, CHI.

We Are Dynamo: Overcoming Stalling and Friction in Collective Action for Crowd Workers

Michael S. Bernstein, Lilly Irani, Niloufar Salehi, 2015, CHI.

Robust optimization of subsurface flow using polynomial chaos and response surface surrogates

I. Pan, A. Alkhatib, M. Babaei, 2015, Computational Geosciences.

Laboratory Assessment of EOR Chemicals Back-Production Impact on Upstream Facilities

A. Alkhatib, Hassan A. Al-Ajwad, A. AlSofi, 2016 .

Applying the Multi-level Monte Carlo Method to Quantify Uncertainty for Chemical EOR Processes

A. Alkhatib, 2014 .

Deep Reading Technology Integrated with Inflow Control Devices to Improve Sweep Efficiency in Horizontal Waterfloods

A. Alkhatib, D. Georgi, Anuj Gupta, 2016 .

Reservoir Saturation Mapping from Electromagnetic Geophysical Surveys using Advanced Uncertainty Quantification Methods

A. Alkhatib, A. Marsala, Sarah Alsaif, 2017 .

Enhanced Petrophysical Interpretation of 3D Electromagnetic Surveys for Reservoir Characterization

A. Alkhatib, A. Marsala, Sarah Alsaif, 2016 .

Numerical and Experimental Analysis of Recovery Mechanisms in Chemical Floods

A. Kovscek, A. Alkhatib, A. Alshehri, 2015 .

Street-Level Algorithms: A Theory at the Gaps Between Policy and Decisions

Michael S. Bernstein, Ali Alkhatib, A. Alkhatib, 2019, CHI.

Robust optimization of well location to enhance hysteretical trapping of CO2: Assessment of various uncertainty quantification methods and utilization of mixed response surface surrogates

Indranil Pan, Masoud Babaei, Ali Alkhatib, 2015 .

Impact of Chemical Flood Implementation Time on Ultimate Recovery and Net Present Value

A. Alkhatib, M. Algeer, A. Alshehri, 2016 .

Robust Quantification of Uncertainty in Heterogeneity for Chemical EOR Processes: Applying the Multi-Level Monte Carlo Method

Ali Alkhatib, A. Alkhatib, 2015 .

Assessment of Enhanced-Oil-Recovery-Chemicals Production and its Potential Effect on Upstream Facilities

A. Alkhatib, Hassan A. Al-Ajwad, A. AlSofi, 2019, SPE Journal.

Laying the Groundwork for a Worker-Centric Peer Economy pdf

Justin Cranshaw, Andrés Monroy-Hernández, Ali Alkhatib, 2018, ArXiv.

To Live in Their Utopia: Why Algorithmic Systems Create Absurd Outcomes

Ali Alkhatib, A. Alkhatib, 2021, CHI.

The Use of the Least-Squares Probabilistic-Collocation Method in Decision Making in the Presence of Uncertainty for Chemical-Enhanced-Oil-Recovery Processes

Peter R. King, Peter R. King, Ali Alkhatib, 2015 .

An approximate dynamic programming approachto decision making in the presence of uncertainty for surfactant-polymer flooding

Peter R. King, Ali Alkhatib, P. King, 2014, Computational Geosciences.

Decision Making Under Uncertainty: Applying the Least-Squares Monte Carlo Method in Surfactant-Flooding Implementation

Peter R. King, Masoud Babaei, Ali Alkhatib, 2013 .

Decision making and uncertainty quantification for surfactant-polymer flooding

Ali Alkhatib, A. Alkhatib, 2013 .

Applying the Multilevel Monte Carlo Method for Heterogeneity-Induced Uncertainty Quantification of Surfactant/Polymer Flooding

Masoud Babaei, Ali Alkhatib, A. Alkhatib, 2016 .

Robust quantification of parametric uncertainty for surfactant–polymer flooding

Peter R. King, Ali Alkhatib, P. King, 2014, Computational Geosciences.

Uncertainty Quantification of a Chemically Enhanced Oil Recovery Process: Applying the Probabilistic Collocation Method to a Surfactant-Polymer Flood

P. King, A. Alkhatib, P. King, 2013 .