Extend abstract in the README.md (#45)

Extend the abstract in the `README.md` and add it to its own section in
the file.

README.md

@@ -34,19 +34,26 @@ and [Rowan Cockett][rowan]<sup>3</sup>
 | Website of the event | [agrogeophy.github.io/agrogeo24][agrogeo24] |
 
 
+## Abstract
+
+In this workshop we'll showcase how we can use the tools available in
+[SimPEG][simpeg], a Python library for Simulations and Parameter Estimations in
+Geophysics, to simulate ERT (a.k.a. DC resistivity) data from a synthetic model
+and then to run a deterministic inversion to recover the original model.
+You'll learn how to set up a DC survey, define a mesh, build a synthetic model,
+create a simulation that implements all the physics, and run a forward
+model to generate synthetic data. Lastly you'll learn how to set up an
+inversion to recover the resistivity of the subsurface. By the end of the
+tutorial you'll be able to invert your own data.
+
+
 ## About
 
 We were invited by [Agrogeo24][agrogeo24] to give a workshop about SimPEG, to
 show the agrogeophysical community how we can use [SimPEG][simpeg] to run
 forward simulations of DC resistivity data (ERT), and how we can invert that
 type of data.
 
-> Come and discover the powerful open-source [SimPEG][simpeg] framework whose
-> development is led by UBC.
-> You will learn how to set-up an inversion in SimPEG using an example from ERT,
-> then you will get the chance to set up an inversion scheme yourselves and
-> finally get some information on how to proceed for your own data set.
-
 During this workshop we'll go through two Jupyter notebooks that showcase
 examples on how we can run forward and inverse problems for ERT data: